diff --git a/.gitignore b/.gitignore
index ff212253..8d440971 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,6 +10,13 @@
pycache
__pycache__
*.pyc
+gemini-native-image*
+*.mp4
+*.mp3
+*.wav
+*.avi
+*.mov
+*.flv
*.pyo
*.pyd
*.pyw
diff --git a/lib/ai_writers/ai_blog_writer/ai_blog_generator.py b/lib/ai_writers/ai_blog_writer/ai_blog_generator.py
new file mode 100644
index 00000000..f6a16bb1
--- /dev/null
+++ b/lib/ai_writers/ai_blog_writer/ai_blog_generator.py
@@ -0,0 +1,635 @@
+import os
+import streamlit as st
+from loguru import logger
+
+from lib.utils.voice_processing import record_voice
+from lib.ai_writers.ai_blog_writer.blog_writer_styles import apply_blog_writer_styles
+from lib.ai_writers.ai_blog_writer.ai_blog_generator_utils import (
+ CONFIG_PATH,
+ load_config,
+ get_search_params_from_config,
+ get_blog_characteristics_from_config,
+ get_blog_images_from_config,
+ get_llm_options_from_config,
+ process_input,
+ handle_content_generation
+)
+
+apply_blog_writer_styles()
+
+def display_input_section():
+ """Display the input section with text area, file upload, and voice recording options."""
+ # Main container with columns for better organization
+ col1, col2, col3 = st.columns([2, 1.5, 0.5])
+
+ # First column: Keywords input
+ with col1:
+ st.markdown("### π Content Source")
+ st.markdown("#### Enter Keywords, Title or URL")
+ user_input = st.text_area(
+ 'Power your content with keywords or a website URL',
+ help='Provide keywords, a blog title, YouTube link, or web URL to generate targeted content.',
+ placeholder="Examples:\n- Keywords: AI tools, digital marketing\n- Blog Title: The Future of AI in Marketing\n- YouTube Link: https://youtube.com/...\n- Web URL: https://example.com/...",
+ height=150
+ )
+
+ # Second column: File uploader
+ with col2:
+ st.markdown("### π File Upload")
+ st.markdown("#### Upload Reference Content")
+ uploaded_file = st.file_uploader(
+ "Add files to enhance your content",
+ type=["txt", "pdf", "docx", "jpg", "jpeg", "png", "mp3", "wav", "mp4", "mkv", "avi"],
+ help='Upload documents, images, or media files to incorporate additional information in your blog.'
+ )
+
+ # Third column: Voice input
+ with col3:
+ st.markdown("### π€ Voice")
+ st.markdown("#### Record Ideas")
+ audio_input = record_voice()
+ if audio_input:
+ st.success("Voice recorded!")
+
+ return user_input, uploaded_file, audio_input
+
+
+def display_content_type_selection():
+ """Display the content type selection section and return the selected type."""
+ # Content options in a cleaner layout
+ st.markdown("### π§ Content Configuration")
+
+ # Content type selection with better UI
+ st.markdown("#### Select Content Type")
+ content_type = st.radio(
+ "Choose the format and length of your blog content",
+ ["Standard Blog Post", "Comprehensive Long-form", "AI Agent Team (Beta)"],
+ horizontal=True,
+ help="Standard: 800-1200 words | Long-form: 1500+ words | AI Agent: Experimental multi-perspective content"
+ )
+
+ # Map the friendly content type names to the original options
+ content_type_map = {
+ "Standard Blog Post": "Normal-length content",
+ "Comprehensive Long-form": "Long-form content",
+ "AI Agent Team (Beta)": "Experimental - AI Agents team"
+ }
+
+ return content_type, content_type_map[content_type]
+
+
+def display_content_characteristics_tab():
+ """Display the Content Characteristics tab and return the selected options."""
+ st.markdown("#### Blog Content Characteristics")
+
+ # Load default values from configuration
+ config_blog_chars = get_blog_characteristics_from_config()
+
+ # Blog length
+ blog_length = st.number_input(
+ "Blog Length (words)",
+ min_value=500,
+ max_value=5000,
+ value=int(config_blog_chars.get("blog_length", 2000)),
+ step=100,
+ help="Target word count for your blog post"
+ )
+
+ # Blog tone
+ tone_options = ["Professional", "Casual", "Formal", "Conversational", "Authoritative", "Friendly"]
+ default_tone = config_blog_chars.get("blog_tone", "Professional")
+ default_tone_index = tone_options.index(default_tone) if default_tone in tone_options else 0
+
+ blog_tone = st.selectbox(
+ "Blog Tone",
+ options=tone_options,
+ index=default_tone_index,
+ help="The overall tone and style of your blog content"
+ )
+
+ # Blog demographic
+ demographic_options = ["Professional", "General", "Technical", "Beginner", "Expert", "Student"]
+ default_demo = config_blog_chars.get("blog_demographic", "Professional")
+ default_demo_index = demographic_options.index(default_demo) if default_demo in demographic_options else 0
+
+ blog_demographic = st.selectbox(
+ "Target Audience",
+ options=demographic_options,
+ index=default_demo_index,
+ help="Who your blog content is primarily written for"
+ )
+
+ # Blog type
+ type_options = ["Informational", "How-to", "List", "Review", "Tutorial", "Opinion"]
+ default_type = config_blog_chars.get("blog_type", "Informational")
+ default_type_index = type_options.index(default_type) if default_type in type_options else 0
+
+ blog_type = st.selectbox(
+ "Blog Type",
+ options=type_options,
+ index=default_type_index,
+ help="The format and purpose of your blog content"
+ )
+
+ # Blog language
+ language_options = ["English", "Spanish", "French", "German", "Italian", "Portuguese"]
+ default_lang = config_blog_chars.get("blog_language", "English")
+ default_lang_index = language_options.index(default_lang) if default_lang in language_options else 0
+
+ blog_language = st.selectbox(
+ "Blog Language",
+ options=language_options,
+ index=default_lang_index,
+ help="The language your blog will be written in"
+ )
+
+ # Blog output format
+ format_options = ["markdown", "html", "plain text"]
+ default_format = config_blog_chars.get("blog_output_format", "markdown").lower()
+ default_format_index = format_options.index(default_format) if default_format in format_options else 0
+
+ blog_output_format = st.selectbox(
+ "Output Format",
+ options=format_options,
+ index=default_format_index,
+ help="The format in which the blog content will be generated"
+ )
+
+ # Show current configuration source
+ if os.path.exists(CONFIG_PATH):
+ st.success(f"β
Using blog characteristics from configuration file")
+ else:
+ st.info("βΉοΈ Using default blog characteristics (no configuration file found)")
+
+ return {
+ "blog_length": blog_length,
+ "blog_tone": blog_tone,
+ "blog_demographic": blog_demographic,
+ "blog_type": blog_type,
+ "blog_language": blog_language,
+ "blog_output_format": blog_output_format
+ }
+
+
+def display_content_analysis_tab():
+ """Display the Content & Analysis Options tab and return the selected options."""
+ st.markdown("#### Content & Analysis Options")
+
+ # Create two columns for better organization
+ col1, col2 = st.columns(2)
+
+ with col1:
+ st.markdown("**Content Enhancements**")
+ create_seo_tags = st.checkbox(
+ 'β
Generate SEO metadata',
+ value=True,
+ help='Create schema markup, meta tags, and social media metadata'
+ )
+ generate_social_media = st.checkbox(
+ 'β
Create social media posts',
+ value=False,
+ help="Generate matching social content for Facebook, Twitter, and LinkedIn"
+ )
+ add_table_of_contents = st.checkbox(
+ 'β
Add table of contents',
+ value=True,
+ help="Include an auto-generated table of contents at the beginning of the blog"
+ )
+
+ with col2:
+ st.markdown("**Analysis & Improvement**")
+ content_analysis = st.checkbox(
+ 'β
Perform content analysis',
+ value=False,
+ help="Include proofreading, readability score, and improvement suggestions"
+ )
+ enhance_readability = st.checkbox(
+ 'β
Enhance readability',
+ value=True,
+ help="Optimize sentence structure and vocabulary for better readability"
+ )
+ fact_checking = st.checkbox(
+ 'β
Basic fact verification',
+ value=False,
+ help="Verify key facts from multiple sources when possible"
+ )
+
+ st.markdown("---")
+ st.markdown("**Formatting Options**")
+
+ # Create two columns for formatting options
+ fmt_col1, fmt_col2 = st.columns(2)
+
+ with fmt_col1:
+ section_headings = st.checkbox(
+ 'β
Use section headings',
+ value=True,
+ help="Include clear section headings throughout the blog"
+ )
+ include_lists = st.checkbox(
+ 'β
Use bullet points and lists',
+ value=True,
+ help="Format appropriate content as bullet points or numbered lists"
+ )
+
+ with fmt_col2:
+ include_quotes = st.checkbox(
+ 'β
Include relevant quotes',
+ value=False,
+ help="Add expert quotes or important statements as blockquotes"
+ )
+ use_subheadings = st.checkbox(
+ 'β
Use subheadings',
+ value=True,
+ help="Break down sections with descriptive subheadings"
+ )
+
+ return {
+ "create_seo_tags": create_seo_tags,
+ "generate_social_media": generate_social_media,
+ "add_table_of_contents": add_table_of_contents,
+ "content_analysis": content_analysis,
+ "enhance_readability": enhance_readability,
+ "fact_checking": fact_checking,
+ "section_headings": section_headings,
+ "include_lists": include_lists,
+ "include_quotes": include_quotes,
+ "use_subheadings": use_subheadings
+ }
+
+
+def display_blog_images_tab():
+ """Display the Blog Images Details tab and return the selected options."""
+ st.markdown("#### Blog Images Settings")
+
+ # Load default values from configuration
+ config_images = get_blog_images_from_config()
+
+ # Image generation model selection
+ model_options = ["stable-diffusion", "dall-e", "midjourney", "imagen"]
+ default_model = config_images.get("image_model", "stable-diffusion")
+ default_model_index = model_options.index(default_model) if default_model in model_options else 0
+
+ image_model = st.selectbox(
+ "Image Generation Model",
+ options=model_options,
+ index=default_model_index,
+ help="AI model used to generate blog images"
+ )
+
+ # Number of blog images
+ num_images = st.number_input(
+ "Number of Blog Images",
+ min_value=0,
+ max_value=10,
+ value=config_images.get("num_images", 1),
+ step=1,
+ help="Number of images to generate for the blog"
+ )
+
+ # Image style
+ style_options = ["Realistic", "Artistic", "Cartoon", "Minimalist", "Corporate", "Vibrant"]
+ default_style = config_images.get("image_style", "Realistic")
+ default_style_index = style_options.index(default_style) if default_style in style_options else 0
+
+ image_style = st.selectbox(
+ "Image Style",
+ options=style_options,
+ index=default_style_index,
+ help="Visual style of the generated images"
+ )
+
+ # Additional image options
+ st.markdown("**Additional Image Options**")
+
+ col1, col2 = st.columns(2)
+
+ with col1:
+ generate_featured = st.checkbox(
+ 'β
Generate featured image',
+ value=True,
+ help="Create a featured header image for the blog"
+ )
+ add_captions = st.checkbox(
+ 'β
Add image captions',
+ value=True,
+ help="Generate descriptive captions for each image"
+ )
+
+ with col2:
+ use_alt_text = st.checkbox(
+ 'β
Generate alt text',
+ value=True,
+ help="Create accessibility alt text for all images"
+ )
+ optimize_images = st.checkbox(
+ 'β
Optimize image placement',
+ value=True,
+ help="Intelligently place images throughout the content"
+ )
+
+ # Show current configuration source
+ if os.path.exists(CONFIG_PATH):
+ st.success(f"β
Using image settings from configuration file")
+ else:
+ st.info("βΉοΈ Using default image settings (no configuration file found)")
+
+ return {
+ "image_model": image_model,
+ "num_images": num_images,
+ "image_style": image_style,
+ "generate_featured": generate_featured,
+ "add_captions": add_captions,
+ "use_alt_text": use_alt_text,
+ "optimize_placement": optimize_images
+ }
+
+
+def display_llm_options_tab():
+ """Display the LLM Options tab and return the selected options."""
+ st.markdown("#### Language Model Settings")
+
+ # Load default values from configuration
+ config_llm = get_llm_options_from_config()
+
+ # LLM provider selection
+ provider_options = ["google", "openai", "anthropic", "local"]
+ default_provider = config_llm.get("provider", "google")
+ default_provider_index = provider_options.index(default_provider) if default_provider in provider_options else 0
+
+ llm_provider = st.selectbox(
+ "AI Provider",
+ options=provider_options,
+ index=default_provider_index,
+ help="The AI provider to use for content generation"
+ )
+
+ # Model selection (dynamic based on provider)
+ if llm_provider == "google":
+ model_options = ["gemini-1.5-flash-latest", "gemini-1.5-pro-latest", "gemini-pro"]
+ elif llm_provider == "openai":
+ model_options = ["gpt-4o", "gpt-4-turbo", "gpt-3.5-turbo"]
+ elif llm_provider == "anthropic":
+ model_options = ["claude-3-opus", "claude-3-sonnet", "claude-3-haiku"]
+ else:
+ model_options = ["llama-3-70b", "mistral-large", "local-model"]
+
+ default_model = config_llm.get("model", "gemini-1.5-flash-latest")
+ default_model_index = 0
+ if default_model in model_options:
+ default_model_index = model_options.index(default_model)
+
+ llm_model = st.selectbox(
+ "AI Model",
+ options=model_options,
+ index=default_model_index,
+ help="The specific AI model to use for content generation"
+ )
+
+ # Create two columns for temperature and max tokens
+ col1, col2 = st.columns(2)
+
+ with col1:
+ # Temperature setting
+ temperature = st.slider(
+ "Temperature",
+ min_value=0.0,
+ max_value=1.0,
+ value=config_llm.get("temperature", 0.7),
+ step=0.1,
+ help="Controls randomness: lower values are more deterministic, higher values more creative"
+ )
+
+ with col2:
+ # Max tokens
+ max_tokens = st.number_input(
+ "Max Tokens",
+ min_value=1000,
+ max_value=32000,
+ value=config_llm.get("max_tokens", 4000),
+ step=1000,
+ help="Maximum length of generated content (in tokens)"
+ )
+
+ # Advanced LLM options
+ st.markdown("---")
+ st.markdown("**Advanced LLM Options**")
+ show_advanced_llm = st.checkbox("Show advanced LLM parameters", value=False)
+
+ advanced_params = {}
+ if show_advanced_llm:
+ # Top-p (nucleus sampling)
+ top_p = st.slider(
+ "Top-p (Nucleus Sampling)",
+ min_value=0.1,
+ max_value=1.0,
+ value=0.9,
+ step=0.1,
+ help="Controls diversity via nucleus sampling: 1.0 considers all tokens, lower values restrict to more likely tokens"
+ )
+
+ # Top-k
+ top_k = st.slider(
+ "Top-k",
+ min_value=1,
+ max_value=100,
+ value=40,
+ step=1,
+ help="Controls diversity by limiting to top k tokens: higher values allow more diversity"
+ )
+
+ # Presence penalty
+ presence_penalty = st.slider(
+ "Presence Penalty",
+ min_value=-2.0,
+ max_value=2.0,
+ value=0.0,
+ step=0.1,
+ help="Penalizes repeated tokens: positive values discourage repetition"
+ )
+
+ advanced_params = {
+ "top_p": top_p,
+ "top_k": top_k,
+ "presence_penalty": presence_penalty
+ }
+
+ # Show current configuration source
+ if os.path.exists(CONFIG_PATH):
+ st.success(f"β
Using LLM settings from configuration file")
+ else:
+ st.info("βΉοΈ Using default LLM settings (no configuration file found)")
+
+ return {
+ "provider": llm_provider,
+ "model": llm_model,
+ "temperature": temperature,
+ "max_tokens": max_tokens,
+ **advanced_params
+ }
+
+
+def display_search_settings_tab():
+ """Display the Search Settings tab and return the selected options."""
+ st.markdown("#### AI Search Configuration")
+ st.markdown("Control how the AI researches your topic")
+
+ # Load default values from configuration
+ config_search_params = get_search_params_from_config()
+
+ # Number of search results
+ max_results = st.slider(
+ "Maximum Results",
+ min_value=5,
+ max_value=30,
+ value=config_search_params.get("max_results", 10),
+ step=5,
+ help="Maximum number of search results to use for research"
+ )
+
+ # Search depth
+ search_depth = st.radio(
+ "Search Depth",
+ options=["basic", "advanced"],
+ index=0,
+ horizontal=True,
+ help="Basic: Faster but less comprehensive. Advanced: More thorough but slower."
+ )
+
+ # Include domains
+ include_domains = st.text_input(
+ "Include Domains (Optional)",
+ value="",
+ help="Comma-separated list of domains to prioritize in search (e.g., wikipedia.org,nih.gov)"
+ )
+
+ # Time range - use value from config
+ time_options = ["day", "week", "month", "year", "all"]
+ default_time_index = time_options.index(config_search_params.get("time_range", "year")) if config_search_params.get("time_range", "year") in time_options else 3 # Default to "year" (index 3)
+
+ time_range = st.select_slider(
+ "Time Range",
+ options=time_options,
+ value=time_options[default_time_index],
+ help="Limit search results to a specific time period"
+ )
+
+ # Show current configuration source
+ if os.path.exists(CONFIG_PATH):
+ st.success(f"β
Using search defaults from configuration file")
+ else:
+ st.info("βΉοΈ Using default search settings (no configuration file found)")
+
+ # Replace expander with checkbox for configuration display
+ show_config = st.checkbox("Show configuration details", value=False)
+ if show_config:
+ st.markdown("""
+ **Configuration File Location**
+ Search parameters are loaded from the main configuration file at:
+ `lib/workspace/alwrity_config/main_config.json`
+
+ You can modify this file to change the default search settings.
+ """)
+
+ if os.path.exists(CONFIG_PATH):
+ try:
+ with open(CONFIG_PATH, 'r') as f:
+ config_content = f.read()
+ st.code(config_content, language="json")
+ except:
+ st.warning("Could not read configuration file")
+
+ st.info("These settings control how the AI performs web research for your content. More thorough searches may take longer but produce better results.")
+
+ # Process include_domains from string to list if provided
+ domains_list = []
+ if include_domains:
+ domains_list = [domain.strip() for domain in include_domains.split(",") if domain.strip()]
+
+ return {
+ "max_results": max_results,
+ "search_depth": search_depth,
+ "time_range": time_range,
+ "include_domains": domains_list
+ }
+
+
+def display_advanced_options():
+ """Display all advanced options tabs and return the selected configurations."""
+ with st.expander("βοΈ Advanced Options", expanded=False):
+ tabs = st.tabs(["Content Characteristics", "Content & Analysis Options", "Blog Images Details", "LLM Options", "Search Settings"])
+
+ with tabs[0]: # Content Characteristics
+ blog_params = display_content_characteristics_tab()
+
+ with tabs[1]: # Combined Content & Analysis Options
+ content_analysis_params = display_content_analysis_tab()
+
+ with tabs[2]: # Blog Images Details
+ image_params = display_blog_images_tab()
+
+ with tabs[3]: # LLM Options
+ llm_params = display_llm_options_tab()
+
+ with tabs[4]: # Search Settings
+ search_params = display_search_settings_tab()
+
+ return blog_params, content_analysis_params, image_params, llm_params, search_params
+
+
+def blog_from_keyword():
+ """Input blog keywords, research and write a factual blog with enhanced UI."""
+
+ # Get user inputs
+ user_input, uploaded_file, audio_input = display_input_section()
+
+ # Get content type selection
+ content_type, selected_content_type = display_content_type_selection()
+
+ # Display advanced options and get configurations
+ blog_params, content_analysis_params, image_params, llm_params, search_params = display_advanced_options()
+
+ # Generate button with icon and clearer purpose
+ st.markdown("") # Add spacing
+ generate_pressed = st.button("β¨ Generate Professional Blog Content", use_container_width=True)
+
+ # Processing logic
+ if generate_pressed:
+ st.empty()
+
+ if not uploaded_file and not user_input and not audio_input:
+ st.error("Please provide at least one input source (keywords, file, or voice recording)")
+ st.stop()
+
+ input_type = process_input(user_input, uploaded_file)
+
+ # Use the utility function to handle content generation
+ handle_content_generation(input_type, user_input, uploaded_file, search_params, blog_params, selected_content_type)
+
+
+def ai_blog_writer_page():
+ """Render the AI Blog Writer page with enhanced styling."""
+ logger.info("Rendering AI Blog Writer page")
+
+ # Apply shared blog writer styles
+ apply_blog_writer_styles()
+
+ # Back button with icon
+ if st.button("β Back to Dashboard", key="back_to_dashboard"):
+ logger.info("User clicked back button, returning to ai writer dashboard")
+ st.query_params.clear()
+ st.rerun()
+
+ # Enhanced header with icon
+ st.markdown("""
+
+ """, unsafe_allow_html=True)
+
+ # Call the blog generator function with enhanced UI
+ logger.info("Calling blog_from_keyword function")
+ blog_from_keyword()
+
+ logger.info("Finished rendering AI Blog Writer page")
\ No newline at end of file
diff --git a/lib/ai_writers/ai_blog_writer/ai_blog_generator_utils.py b/lib/ai_writers/ai_blog_writer/ai_blog_generator_utils.py
new file mode 100644
index 00000000..d66ef376
--- /dev/null
+++ b/lib/ai_writers/ai_blog_writer/ai_blog_generator_utils.py
@@ -0,0 +1,382 @@
+import re
+import os
+import json
+from loguru import logger
+import PyPDF2
+import streamlit as st
+import tiktoken
+import openai
+
+from lib.gpt_providers.text_generation.main_text_generation import llm_text_gen
+from lib.ai_writers.keywords_to_blog_streamlit import write_blog_from_keywords
+from lib.ai_writers.speech_to_blog.main_audio_to_blog import generate_audio_blog
+from lib.ai_writers.long_form_ai_writer import long_form_generator
+from lib.ai_writers.web_url_ai_writer import blog_from_url
+from lib.ai_writers.image_ai_writer import blog_from_image
+
+# Constants
+CONFIG_PATH = os.path.join("lib", "workspace", "alwrity_config", "main_config.json")
+DEFAULT_CONFIG = {
+ "Search Engine Parameters": {
+ "Geographic Location": "us",
+ "Search Language": "en",
+ "Number of Results": 10,
+ "Time Range": "year"
+ }
+}
+
+# Function to load configuration from JSON file
+def load_config():
+ """Load configuration from the main config JSON file."""
+ try:
+ if os.path.exists(CONFIG_PATH):
+ with open(CONFIG_PATH, 'r') as f:
+ config = json.load(f)
+ logger.info(f"Loaded configuration from {CONFIG_PATH}")
+ return config
+ else:
+ logger.warning(f"Configuration file not found at {CONFIG_PATH}, using defaults")
+ return DEFAULT_CONFIG
+ except Exception as e:
+ logger.error(f"Error loading configuration: {str(e)}")
+ return DEFAULT_CONFIG
+
+# Function to get search parameters from config
+def get_search_params_from_config():
+ """Extract search parameters from the main configuration."""
+ config = load_config()
+ search_params = config.get("Search Engine Parameters", {})
+
+ # Map config values to expected parameter names
+ result = {
+ "max_results": search_params.get("Number of Results", 10),
+ "time_range": search_params.get("Time Range", "year").lower(),
+ "geo": search_params.get("Geographic Location", "us"),
+ "language": search_params.get("Search Language", "en")
+ }
+
+ # Normalize time_range to match our options
+ time_map = {
+ "day": "day",
+ "week": "week",
+ "month": "month",
+ "year": "year",
+ "anytime": "all",
+ "all": "all"
+ }
+ result["time_range"] = time_map.get(result["time_range"].lower(), "year")
+
+ logger.info(f"Using search parameters from config: {result}")
+ return result
+
+# Function to get blog content characteristics from config
+def get_blog_characteristics_from_config():
+ """Extract blog content characteristics from the main configuration."""
+ config = load_config()
+ blog_characteristics = config.get("Blog Content Characteristics", {})
+
+ # Map config values to expected parameter names
+ result = {
+ "blog_length": blog_characteristics.get("Blog Length", "2000"),
+ "blog_tone": blog_characteristics.get("Blog Tone", "Professional"),
+ "blog_demographic": blog_characteristics.get("Blog Demographic", "Professional"),
+ "blog_type": blog_characteristics.get("Blog Type", "Informational"),
+ "blog_language": blog_characteristics.get("Blog Language", "English"),
+ "blog_output_format": blog_characteristics.get("Blog Output Format", "markdown")
+ }
+
+ logger.info(f"Using blog characteristics from config: {result}")
+ return result
+
+# Function to get blog image details from config
+def get_blog_images_from_config():
+ """Extract blog image details from the main configuration."""
+ config = load_config()
+ blog_images = config.get("Blog Images Details", {})
+
+ # Map config values to expected parameter names
+ result = {
+ "image_model": blog_images.get("Image Generation Model", "stable-diffusion"),
+ "num_images": int(blog_images.get("Number of Blog Images", 1)),
+ "image_style": blog_images.get("Image Style", "Realistic")
+ }
+
+ logger.info(f"Using blog image details from config: {result}")
+ return result
+
+# Function to get LLM options from config
+def get_llm_options_from_config():
+ """Extract LLM options from the main configuration."""
+ config = load_config()
+ llm_options = config.get("LLM Options", {})
+
+ # Map config values to expected parameter names
+ result = {
+ "provider": llm_options.get("GPT Provider", "google"),
+ "model": llm_options.get("Model", "gemini-1.5-flash-latest"),
+ "temperature": float(llm_options.get("Temperature", 0.7)),
+ "max_tokens": int(llm_options.get("Max Tokens", 4000))
+ }
+
+ logger.info(f"Using LLM options from config: {result}")
+ return result
+
+# Split a text into smaller chunks of size n, preferably ending at the end of a sentence
+def create_chunks(text, n, tokenizer):
+ tokens = tokenizer.encode(text)
+ """Yield successive n-sized chunks from text."""
+ i = 0
+ while i < len(tokens):
+ # Find the nearest end of sentence within a range of 0.5 * n and 1.5 * n tokens
+ j = min(i + int(1.5 * n), len(tokens))
+ while j > i + int(0.5 * n):
+ # Decode the tokens and check for full stop or newline
+ chunk = tokenizer.decode(tokens[i:j])
+ if chunk.endswith(".") or chunk.endswith("\n"):
+ break
+ j -= 1
+ # If no end of sentence found, use n tokens as the chunk size
+ if j == i + int(0.5 * n):
+ j = min(i + n, len(tokens))
+ yield tokens[i:j]
+ i = j
+
+
+def extract_chunk(document, template_prompt):
+ """ Chunking for large documents, exceed context window"""
+ prompt = template_prompt.replace('', document)
+
+ try:
+ response = llm_text_gen(prompt)
+ return response
+ except Exception as err:
+ logger.error(f"Failed to get response from LLM: {err}")
+ raise
+
+
+def blog_from_pdf(pdf_text):
+ """
+ Load in a long PDF and extract key information.
+ Chunk up document and process each chunk, then combine them.
+ """
+ template_prompt=f'''Extract key pieces of information from the given document.
+
+ When you extract a key piece of information, include the closest page number.
+ Ex: Extracted Information (Page number)
+ \n\nDocument: \"\"\"\"\"\"\n\n'''
+
+ # Initialize tokenizer
+ tokenizer = tiktoken.get_encoding("cl100k_base")
+ results = []
+
+ chunks = create_chunks(pdf_text, 1000, tokenizer)
+ text_chunks = [tokenizer.decode(chunk) for chunk in chunks]
+
+ for chunk in text_chunks:
+ try:
+ results.append(extract_chunk(chunk, template_prompt))
+ except Exception as e:
+ logger.error(f"Error processing chunk: {e}")
+ # Continue with other chunks even if one fails
+ continue
+
+ return results
+
+
+# Input validation functions
+def is_youtube_link(text):
+ """Check if text is a valid YouTube link."""
+ if text is not None:
+ youtube_regex = re.compile(r'(https?://)?(www\.)?(youtube|youtu|youtube-nocookie)\.(com|be)/(watch\?v=|embed/|v/|.+\?v=)?([^&=%\?]{11})')
+ return youtube_regex.match(text)
+ return False
+
+
+def is_web_link(text):
+ """Check if text is a valid web link."""
+ if text is not None:
+ web_regex = re.compile(r'(https?://)?(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)')
+ return web_regex.match(text)
+ return False
+
+
+def process_input(input_text, uploaded_file):
+ """
+ Determine the type of input provided by the user.
+
+ Args:
+ input_text (str): The text input from the user
+ uploaded_file: The file uploaded by the user
+
+ Returns:
+ str: The determined input type ("youtube_url", "web_url", "keywords", "PDF_file", "image_file", "audio_file", "video_file", or None)
+ """
+ # Process text input
+ if input_text:
+ if is_youtube_link(input_text):
+ if input_text.startswith("https://www.youtube.com/") or input_text.startswith("http://www.youtube.com/"):
+ return "youtube_url"
+ else:
+ st.error("Invalid YouTube URL. Please enter a valid URL.")
+ return None
+ elif is_web_link(input_text):
+ return "web_url"
+ else:
+ return "keywords"
+
+ # Process file input
+ if uploaded_file is not None:
+ file_details = {"filename": uploaded_file.name, "filetype": uploaded_file.type}
+ st.write(file_details)
+
+ # Handle different file types
+ if uploaded_file.type.startswith("text/"):
+ content = uploaded_file.read().decode("utf-8")
+ st.text(content)
+ return "text_file"
+ elif uploaded_file.type == "application/pdf":
+ return "PDF_file"
+ elif uploaded_file.type in ["application/vnd.openxmlformats-officedocument.wordprocessingml.document", "application/msword"]:
+ st.write("Word document uploaded. Add your DOCX processing logic here.")
+ return "word_file"
+ elif uploaded_file.type.startswith("image/"):
+ st.image(uploaded_file)
+ return "image_file"
+ elif uploaded_file.type.startswith("audio/"):
+ st.audio(uploaded_file)
+ return "audio_file"
+ elif uploaded_file.type.startswith("video/"):
+ st.video(uploaded_file)
+ return "video_file"
+
+ return None
+
+
+# Content processing functions
+def process_keywords_input(user_input, search_params, blog_params, selected_content_type):
+ """Process keywords input and generate content based on the selected options."""
+ if not user_input or len(user_input.split()) < 2:
+ st.error('Please provide at least two keywords for best results')
+ return False
+
+ try:
+ if selected_content_type == "Normal-length content":
+ st.subheader("Your Generated Blog Post")
+ logger.info(f"Generating standard blog post with parameters: {blog_params}")
+
+ # Ensure all blog parameters are properly passed
+ # This is important as the UI may have settings that aren't in the default blog_params
+ short_blog = write_blog_from_keywords(
+ user_input,
+ search_params=search_params,
+ blog_params=blog_params
+ )
+ st.markdown(short_blog)
+ return True
+
+ elif selected_content_type == "Long-form content":
+ logger.info(f"Generating long-form content with parameters: {blog_params}")
+
+ # Ensure all blog parameters are properly passed to long-form generator
+ long_form_generator(
+ user_input,
+ search_params=search_params,
+ blog_params=blog_params
+ )
+ st.success(f"Successfully generated long-form content for: {user_input}")
+ return True
+
+ else:
+ st.info("AI Agent Team feature is coming soon! This will provide multi-perspective content with different AI experts collaborating on your blog.")
+ return False
+
+ except Exception as err:
+ logger.error(f"An error occurred while generating content: {err}")
+ st.error(f"An error occurred while generating content: {err}")
+ return False
+
+
+def process_pdf_input(uploaded_file):
+ """Process a PDF file and generate content."""
+ with st.expander("Processing PDF Document", expanded=True):
+ pdf_reader = PyPDF2.PdfReader(uploaded_file)
+ text = ""
+ combined_result = ""
+
+ # Show progress with better UI
+ progress_text = st.empty()
+ progress_bar = st.progress(0)
+
+ total_pages = len(pdf_reader.pages)
+ for page_num, page in enumerate(pdf_reader.pages):
+ progress_text.text(f"Processing page {page_num+1}/{total_pages}")
+ text += page.extract_text()
+ text = text.replace("\n", " ")
+ text = re.sub(r"(\w)([A-Z])", r"\1 \2", text)
+
+ results = blog_from_pdf(text)
+ progress_percent = (page_num + 1) / total_pages
+ progress_bar.progress(progress_percent)
+ combined_result += str(results[-1])
+
+ progress_text.empty()
+ progress_bar.empty()
+
+ st.subheader("Generated Content from PDF")
+ st.markdown(combined_result)
+ return True
+
+
+def process_youtube_or_audio(user_input):
+ """Process a YouTube URL or audio file and generate content."""
+ if not generate_audio_blog(user_input):
+ return False
+ return True
+
+
+def process_web_url(user_input):
+ """Process a web URL and generate content."""
+ blog_from_url(user_input)
+ return True
+
+
+def process_image_input(user_input, uploaded_file):
+ """Process an image file and generate content."""
+ blog_from_image(user_input, uploaded_file)
+ return True
+
+
+def handle_content_generation(input_type, user_input, uploaded_file, search_params, blog_params, selected_content_type):
+ """
+ Handle content generation based on the input type.
+
+ Args:
+ input_type: The type of input ("youtube_url", "web_url", etc.)
+ user_input: The text input from the user
+ uploaded_file: The uploaded file (if any)
+ search_params: Search parameters
+ blog_params: Blog content parameters
+ selected_content_type: The selected content type
+
+ Returns:
+ bool: True if content generation was successful, False otherwise
+ """
+ with st.spinner("Crafting your blog content... Please wait."):
+ if input_type == "keywords":
+ return process_keywords_input(user_input, search_params, blog_params, selected_content_type)
+
+ elif input_type == "youtube_url" or input_type == "audio_file":
+ return process_youtube_or_audio(user_input)
+
+ elif input_type == "web_url":
+ return process_web_url(user_input)
+
+ elif input_type == "image_file":
+ return process_image_input(user_input, uploaded_file)
+
+ elif input_type == "PDF_file":
+ return process_pdf_input(uploaded_file)
+
+ else:
+ st.error(f"Unsupported input type: {input_type}")
+ return False
\ No newline at end of file
diff --git a/lib/ai_writers/ai_blog_writer/blog_writer_styles.py b/lib/ai_writers/ai_blog_writer/blog_writer_styles.py
new file mode 100644
index 00000000..437d6720
--- /dev/null
+++ b/lib/ai_writers/ai_blog_writer/blog_writer_styles.py
@@ -0,0 +1,252 @@
+import streamlit as st
+
+def apply_blog_writer_styles():
+ st.markdown("""
+
+ """, unsafe_allow_html=True)
\ No newline at end of file
diff --git a/lib/ai_writers/ai_writer_dashboard.py b/lib/ai_writers/ai_writer_dashboard.py
new file mode 100644
index 00000000..7d28ed88
--- /dev/null
+++ b/lib/ai_writers/ai_writer_dashboard.py
@@ -0,0 +1,273 @@
+import streamlit as st
+from lib.utils.alwrity_utils import (essay_writer, ai_news_writer, ai_finance_ta_writer)
+
+from lib.ai_writers.ai_story_writer.story_writer import story_input_section
+from lib.ai_writers.ai_product_description_writer import write_ai_prod_desc
+from lib.ai_writers.ai_copywriter.copywriter_dashboard import copywriter_dashboard
+from lib.ai_writers.linkedin_writer import LinkedInAIWriter
+#from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_content_planner
+from lib.ai_writers.ai_blog_writer.ai_blog_generator import ai_blog_writer_page
+from loguru import logger
+
+def list_ai_writers():
+ """Return a list of available AI writers with their metadata (no UI rendering)."""
+ return [
+ {
+ "name": "AI Blog Writer",
+ "icon": "π",
+ "description": "Generate comprehensive blog posts from keywords, URLs, or uploaded content",
+ "category": "Content Creation",
+ "function": ai_blog_writer_page,
+ "path": "ai_blog_writer"
+ },
+ {
+ "name": "Story Writer",
+ "icon": "π",
+ "description": "Create engaging stories and narratives with AI assistance",
+ "category": "Creative Writing",
+ "function": story_input_section,
+ "path": "story_writer"
+ },
+ {
+ "name": "Essay writer",
+ "icon": "βοΈ",
+ "description": "Generate well-structured essays on any topic",
+ "category": "Academic",
+ "function": essay_writer,
+ "path": "essay_writer"
+ },
+ {
+ "name": "Write News reports",
+ "icon": "π°",
+ "description": "Create professional news articles and reports",
+ "category": "Journalism",
+ "function": ai_news_writer,
+ "path": "news_writer"
+ },
+ {
+ "name": "Write Financial TA report",
+ "icon": "π",
+ "description": "Generate technical analysis reports for financial markets",
+ "category": "Finance",
+ "function": ai_finance_ta_writer,
+ "path": "financial_writer"
+ },
+ {
+ "name": "AI Product Description Writer",
+ "icon": "ποΈ",
+ "description": "Create compelling product descriptions that drive sales",
+ "category": "E-commerce",
+ "function": write_ai_prod_desc,
+ "path": "product_writer"
+ },
+ {
+ "name": "AI Copywriter",
+ "icon": "βοΈ",
+ "description": "Generate persuasive copy for marketing and advertising",
+ "category": "Marketing",
+ "function": copywriter_dashboard,
+ "path": "copywriter"
+ },
+ {
+ "name": "LinkedIn AI Writer",
+ "icon": "πΌ",
+ "description": "Create professional LinkedIn content that engages your network",
+ "category": "Professional",
+ "function": lambda: LinkedInAIWriter().run(),
+ "path": "linkedin_writer"
+ }
+ ]
+
+def get_ai_writers():
+ """Render the AI Writers dashboard UI with a professional, clickable card layout."""
+ logger.info("Initializing AI Writers Dashboard")
+ writers = list_ai_writers()
+ logger.info(f"Found {len(writers)} AI writers")
+
+ # Add custom CSS for a professional dashboard with VIBRANT clickable cards
+ st.markdown("""
+
+ """, unsafe_allow_html=True)
+
+ # Dashboard header
+ st.markdown("""
+
+ """, unsafe_allow_html=True)
+
+ # Create columns for the grid layout
+ cols = st.columns(3)
+
+ # Render buttons styled as cards for each writer
+ for idx, writer in enumerate(writers):
+ with cols[idx % 3]:
+ # Prepare the button label using simple Markdown with newlines
+ button_label = f"{writer['icon']}\n**{writer['name']}**\n{writer['description']}"
+
+ if st.button(
+ button_label,
+ key=f"writer_{writer['path']}",
+ help=f"Click to use the {writer['name']}", # More specific help text
+ use_container_width=True,
+ ):
+ logger.info(f"Selected writer: {writer['name']} with path: {writer['path']}")
+ st.session_state.selected_writer = writer
+ st.query_params["writer"] = writer['path']
+ logger.info(f"Updated query params with writer: {writer['path']}")
+ st.rerun()
+
+ logger.info("Finished rendering AI Writers Dashboard")
+ # Return writers list, though it's not strictly needed if only rendering UI
+ return writers
+
+# Remove the old ai_writers function since it's now integrated into get_ai_writers
\ No newline at end of file
diff --git a/lib/ai_writers/blog_from_google_serp.py b/lib/ai_writers/blog_from_google_serp.py
index 806ce130..1ce1ae41 100644
--- a/lib/ai_writers/blog_from_google_serp.py
+++ b/lib/ai_writers/blog_from_google_serp.py
@@ -13,26 +13,114 @@ logger.add(sys.stdout,
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
-def write_blog_google_serp(search_keyword, search_results):
- """Combine the given online research and GPT blog content"""
- prompt = f"""
- As expert Creative Content writer,
- I want you to write highly detailed blog post, that explores {search_keyword} and also include 5 FAQs.
-
- I want the post to offer unique insights, relatable examples, and a fresh perspective on the topic.
- Here are some Google search results to spark your creativity on {search_keyword}:
- \n\n
- \"\"\"{search_results}\"\"\"
- """
+def write_blog_google_serp(keywords, search_results, blog_params=None):
+ """
+ Write a blog post using search results from Google SERP.
- logger.info("Generating blog and FAQs from Google web search results.")
+ Args:
+ keywords (str): The keywords or topic for the blog
+ search_results (dict): Results from Google SERP search
+ blog_params (dict, optional): Blog content characteristics:
+ - blog_length: Target word count
+ - blog_tone: Content tone
+ - blog_demographic: Target audience
+ - blog_type: Type of blog post
+ - blog_language: Language for the blog
+
+ Returns:
+ str: The generated blog content in markdown format
+ """
+ # If no blog parameters are provided, use defaults
+ if blog_params is None:
+ blog_params = {
+ "blog_length": 2000,
+ "blog_tone": "Professional",
+ "blog_demographic": "Professional",
+ "blog_type": "Informational",
+ "blog_language": "English"
+ }
+
+ # Ensure all parameters have default values
+ blog_length = blog_params.get("blog_length", 2000)
+ blog_tone = blog_params.get("blog_tone", "Professional")
+ blog_demographic = blog_params.get("blog_demographic", "Professional")
+ blog_type = blog_params.get("blog_type", "Informational")
+ blog_language = blog_params.get("blog_language", "English")
+
+ logger.info(f"Generating {blog_tone} {blog_type} blog of {blog_length} words for {blog_demographic} audience in {blog_language}")
try:
- response = llm_text_gen(prompt)
+ # Build a prompt based on search results
+ prompt_parts = [
+ f"You are a specialized blog writer who writes in a {blog_tone} tone for a {blog_demographic} audience. "
+ f"Create a {blog_type} blog post that is approximately {blog_length} words in {blog_language}.",
+ f"The blog should be about: {keywords}",
+ "Use the following search results to create an informative, accurate, and well-structured blog post:"
+ ]
+
+ # Add organic search results
+ if 'organic' in search_results:
+ prompt_parts.append("\nSearch results:")
+ for i, result in enumerate(search_results['organic'][:5], 1):
+ title = result.get('title', 'No title')
+ snippet = result.get('snippet', 'No snippet')
+ prompt_parts.append(f"{i}. {title}: {snippet}")
+
+ # Add people also ask questions if available
+ if 'peopleAlsoAsk' in search_results and search_results['peopleAlsoAsk']:
+ prompt_parts.append("\nPeople also ask:")
+ for i, question in enumerate(search_results['peopleAlsoAsk'][:3], 1):
+ q_text = question.get('question', 'No question')
+ q_answer = question.get('answer', {}).get('snippet', 'No answer')
+ prompt_parts.append(f"{i}. Q: {q_text}\n A: {q_answer}")
+
+ # Add related searches if available
+ if 'relatedSearches' in search_results and search_results['relatedSearches']:
+ related = [item.get('query', '') for item in search_results['relatedSearches'][:5]]
+ if related:
+ prompt_parts.append("\nRelated topics to consider including:")
+ prompt_parts.append(", ".join(related))
+
+ # Add specific instructions based on blog_type
+ type_instructions = {
+ "Informational": "Focus on providing factual information and educating the reader about the topic.",
+ "How-to": "Include clear step-by-step instructions with actionable advice.",
+ "List": "Organize content into a numbered or bulleted list of points, tips, or examples.",
+ "Review": "Provide balanced analysis with pros and cons, and a clear conclusion or recommendation.",
+ "Tutorial": "Include detailed instructions with examples and explanations for each step.",
+ "Opinion": "Present a clear perspective supported by evidence, while acknowledging other viewpoints."
+ }
+
+ prompt_parts.append(f"\nSpecific instructions: {type_instructions.get(blog_type, '')}")
+
+ # Add formatting instructions
+ prompt_parts.append("""
+Format the blog post in markdown with:
+- A compelling title (# Title)
+- An introduction that hooks the reader
+- Well-structured sections with appropriate headings (## Headings)
+- Bullet points or numbered lists where appropriate
+- A conclusion summarizing key points
+- Make sure all content is accurate, informative, and adds value to the reader.
+- Include 2-3 subheadings to organize the content well.
+- Be concise and to the point.
+- Write in an engaging, reader-friendly style.
+- Avoid using phrases like "According to the search results" or "Based on the information provided."
+- Present information as direct knowledge.
+""")
+
+ # Combine all prompt parts
+ full_prompt = "\n".join(prompt_parts)
+
+ # Generate the blog content using the prompt
+ response = llm_text_gen(full_prompt)
+
+ # Return the generated content
return response
+
except Exception as err:
- logger.error(f"Exit: Failed to get response from LLM: {err}")
- exit(1)
+ logger.error(f"Error generating blog from search results: {err}")
+ raise
def improve_blog_intro(blog_content, blog_intro):
diff --git a/lib/ai_writers/keywords_to_blog_streamlit.py b/lib/ai_writers/keywords_to_blog_streamlit.py
index 9c9c4a35..4f286c7e 100644
--- a/lib/ai_writers/keywords_to_blog_streamlit.py
+++ b/lib/ai_writers/keywords_to_blog_streamlit.py
@@ -8,6 +8,7 @@ import streamlit as st
from gtts import gTTS
import base64
from dotenv import load_dotenv
+import time
# Load environment variables
load_dotenv(Path('../../.env'))
@@ -20,7 +21,8 @@ logger.add(sys.stdout,
# Import other necessary modules
from ..ai_web_researcher.gpt_online_researcher import (
- do_google_serp_search, do_tavily_ai_search,
+ do_google_serp_search as gpt_do_google_serp_search,
+ do_tavily_ai_search as gpt_do_tavily_ai_search,
do_metaphor_ai_research, do_google_pytrends_analysis)
from .blog_from_google_serp import write_blog_google_serp, blog_with_research
from ..ai_web_researcher.you_web_reseacher import get_rag_results, search_ydc_index
@@ -44,101 +46,918 @@ def get_audio_file(audio_file):
return f'Download audio file'
-def write_blog_from_keywords(search_keywords, url=None):
+def initialize_parameters(search_params=None, blog_params=None):
+ """
+ Initialize and validate search and blog parameters with defaults.
+
+ Args:
+ search_params (dict, optional): Search parameters
+ blog_params (dict, optional): Blog parameters
+
+ Returns:
+ tuple: (search_params, blog_params) with defaults applied
+ """
+ # Initialize search params if not provided
+ if search_params is None:
+ search_params = {}
+
+ # Initialize blog params if not provided
+ if blog_params is None:
+ blog_params = {}
+
+ # Provide default values only for missing keys
+ # This ensures we don't override values that were intentionally set to 0 or other falsy values
+ if "max_results" not in search_params:
+ search_params["max_results"] = 10
+ if "search_depth" not in search_params:
+ search_params["search_depth"] = "basic"
+ if "time_range" not in search_params:
+ search_params["time_range"] = "year"
+ if "include_domains" not in search_params:
+ search_params["include_domains"] = []
+
+ # Provide default values only for missing blog parameter keys
+ if "blog_length" not in blog_params:
+ blog_params["blog_length"] = 2000
+ if "blog_tone" not in blog_params:
+ blog_params["blog_tone"] = "Professional"
+ if "blog_demographic" not in blog_params:
+ blog_params["blog_demographic"] = "Professional"
+ if "blog_type" not in blog_params:
+ blog_params["blog_type"] = "Informational"
+ if "blog_language" not in blog_params:
+ blog_params["blog_language"] = "English"
+ if "blog_output_format" not in blog_params:
+ blog_params["blog_output_format"] = "markdown"
+
+ # Log the parameters for debugging
+ logger.info(f"Using search parameters: {search_params}")
+ logger.info(f"Using blog parameters: {blog_params}")
+
+ return search_params, blog_params
+
+
+def perform_google_search(search_keywords, search_params, status, status_container, progress_bar):
+ """
+ Perform Google SERP search for the given keywords.
+
+ Args:
+ search_keywords (str): Keywords to search for
+ search_params (dict): Search parameters
+ status: Streamlit status object
+ status_container: Streamlit container for status messages
+ progress_bar: Streamlit progress bar
+
+ Returns:
+ tuple: (google_search_result, g_titles, success_flag)
+ """
+ def update_progress(message, progress=None, level="info"):
+ """Helper function to update progress in Streamlit UI"""
+ if progress is not None:
+ progress_bar.progress(progress)
+
+ if level == "error":
+ status_container.error(f"π« {message}")
+ elif level == "warning":
+ status_container.warning(f"β οΈ {message}")
+ elif level == "success":
+ status_container.success(f"β
{message}")
+ else:
+ status_container.info(f"π {message}")
+ logger.debug(f"Progress update [{level}]: {message}")
+
+ try:
+ # Update the function call to include the required parameters and search_params
+ status.update(label=f"Starting Google SERP search for: {search_keywords}")
+
+ # Add search params to the Google SERP search
+ google_search_params = {
+ "max_results": search_params.get("max_results", 10)
+ }
+
+ # Include domains if provided
+ if search_params.get("include_domains"):
+ google_search_params["include_domains"] = search_params.get("include_domains")
+
+ google_search_result = do_google_serp_search(
+ search_keywords,
+ status_container=status_container,
+ update_progress=update_progress,
+ **google_search_params
+ )
+
+ if google_search_result and google_search_result.get('titles') and len(google_search_result.get('titles', [])) > 0:
+ status.update(label=f"β
Finished with Google web for Search: {search_keywords}")
+ g_titles = google_search_result.get('titles', [])
+ return google_search_result, g_titles, True
+ else:
+ # Check if there's an error message in the result
+ if google_search_result and 'summary' in google_search_result and 'Error' in google_search_result['summary']:
+ error_msg = google_search_result['summary']
+ status.update(label=f"β Google search failed: {error_msg}", state="error")
+ st.error(f"Google SERP search failed: {error_msg}")
+ else:
+ status.update(label="β Failed to get Google SERP results. No valid data returned.", state="error")
+ st.error("Google SERP search failed to return valid results.")
+ return google_search_result, [], False
+ except Exception as err:
+ status.update(label=f"β Google search error: {str(err)}", state="error")
+ st.error(f"Google web research failed: {err}")
+ logger.error(f"Failed in Google web research: {err}")
+ return None, [], False
+
+
+def perform_tavily_search(search_keywords, search_params, status):
+ """
+ Perform Tavily AI search for the given keywords.
+
+ Args:
+ search_keywords (str): Keywords to search for
+ search_params (dict): Search parameters
+ status: Streamlit status object
+
+ Returns:
+ tuple: (tavily_search_result, success_flag)
+ """
+ try:
+ status.update(label=f"π Starting Tavily AI research: {search_keywords}")
+
+ # Pass the search parameters to Tavily
+ tavily_result_tuple = do_tavily_ai_search(
+ search_keywords,
+ max_results=search_params.get("max_results", 10),
+ search_depth=search_params.get("search_depth", "basic"),
+ include_domains=search_params.get("include_domains", []),
+ time_range=search_params.get("time_range", "year")
+ )
+
+ if tavily_result_tuple and len(tavily_result_tuple) == 3:
+ tavily_search_result, t_titles, t_answer = tavily_result_tuple
+ # If we have either titles or an answer, consider it a success
+ if (t_titles and len(t_titles) > 0) or (t_answer and len(t_answer) > 10):
+ status.update(label=f"β
Finished Tavily AI Search on: {search_keywords}", state="complete")
+ return tavily_search_result, True
+ else:
+ status.update(label="β Tavily search returned empty results", state="error")
+ st.warning("Tavily search didn't find relevant information.")
+ return tavily_search_result, False
+ else:
+ status.update(label="β Tavily search returned incomplete results", state="error")
+ st.error("Tavily search failed to return valid results.")
+ return None, False
+
+ except Exception as err:
+ status.update(label=f"β Tavily search error: {str(err)}", state="error")
+ st.error(f"Failed in Tavily web research: {err}")
+ logger.error(f"Failed in Tavily web research: {err}")
+ return None, False
+
+
+def generate_blog_content(search_keywords, google_search_result, tavily_search_result,
+ google_search_success, tavily_search_success, blog_params, status):
+ """
+ Generate blog content using either Google or Tavily search results.
+
+ Args:
+ search_keywords (str): Search keywords
+ google_search_result: Results from Google search
+ tavily_search_result: Results from Tavily search
+ google_search_success (bool): Whether Google search was successful
+ tavily_search_success (bool): Whether Tavily search was successful
+ blog_params (dict): Blog parameters
+ status: Streamlit status object
+
+ Returns:
+ str: Generated blog content or None if generation failed
+ """
+ # Check if both searches failed - if so, stop the process
+ if not google_search_success and not tavily_search_success:
+ st.error("β Both Google SERP and Tavily AI searches failed. Unable to generate blog content.")
+ st.warning("Please check your API keys in the environment settings and try again.")
+ return None
+
+ # Try Google results first if available
+ if google_search_success and 'results' in google_search_result:
+ try:
+ status.update(label=f"βοΈ Writing blog from Google Search results...")
+ # Pass blog parameters to the blog writing function
+ blog_style_info = f"""
+ Length: {blog_params.get('blog_length')} words
+ Tone: {blog_params.get('blog_tone')}
+ Target Audience: {blog_params.get('blog_demographic')}
+ Blog Type: {blog_params.get('blog_type')}
+ Language: {blog_params.get('blog_language')}
+ """
+ status.update(label=f"βοΈ Writing {blog_params.get('blog_tone')} {blog_params.get('blog_type')} blog for {blog_params.get('blog_demographic')} audience...")
+ blog_markdown_str = write_blog_google_serp(search_keywords, google_search_result['results'], blog_params=blog_params)
+ status.update(label="β
Generated content from Google search results", state="complete")
+ return blog_markdown_str
+ except Exception as err:
+ status.update(label=f"β Failed to generate content from Google results: {str(err)}", state="error")
+ st.error(f"Failed to generate content from Google results: {err}")
+ logger.error(f"Failed to process Google search results: {err}")
+
+ # If Google failed or had no results, try Tavily
+ if tavily_search_success and tavily_search_result:
+ try:
+ status.update(label=f"βοΈ Writing blog from Tavily search results...")
+ status.update(label=f"βοΈ Writing {blog_params.get('blog_tone')} {blog_params.get('blog_type')} blog for {blog_params.get('blog_demographic')} audience...")
+ blog_markdown_str = write_blog_google_serp(search_keywords, tavily_search_result, blog_params=blog_params)
+ status.update(label="β
Generated content from Tavily search results", state="complete")
+ return blog_markdown_str
+ except Exception as err:
+ status.update(label=f"β Failed to generate content from Tavily results: {str(err)}", state="error")
+ st.error(f"Failed to generate content from Tavily results: {err}")
+ logger.error(f"Failed to process Tavily search results: {err}")
+
+ # If we still don't have content, show error
+ st.error("β Failed to generate any blog content from the research results.")
+ return None
+
+
+def generate_blog_metadata(blog_markdown_str, search_keywords, status):
+ """
+ Generate metadata for the blog content.
+
+ Args:
+ blog_markdown_str (str): Blog content
+ search_keywords (str): Original search keywords
+ status: Streamlit status object
+
+ Returns:
+ tuple: (blog_title, blog_meta_desc, blog_tags, blog_categories)
+ """
+ status.update(label="π Generating title, meta description, tags, and categories...")
+ try:
+ blog_title, blog_meta_desc, blog_tags, blog_categories = asyncio.run(blog_metadata(blog_markdown_str))
+ status.update(label="β
Generated blog metadata successfully")
+ return blog_title, blog_meta_desc, blog_tags, blog_categories
+ except Exception as err:
+ st.error(f"Failed to get blog metadata: {err}")
+ logger.error(f"Failed to get blog metadata: {err}")
+ status.update(label="β Failed to get blog metadata", state="error")
+ return None, None, None, None
+
+
+def generate_blog_image(blog_title, blog_meta_desc, blog_markdown_str, status):
+ """
+ Generate a featured image for the blog.
+
+ Args:
+ blog_title (str): Blog title
+ blog_meta_desc (str): Blog meta description
+ blog_markdown_str (str): Blog content
+ status: Streamlit status object
+
+ Returns:
+ str: Path to the generated image or None if generation failed
+ """
+ try:
+ status.update(label="πΌοΈ Generating featured image for blog...")
+
+ # Create a better prompt for image generation
+ if blog_title and blog_meta_desc:
+ # If we have both title and description, use them
+ text_to_image = f"{blog_title}: {blog_meta_desc}"
+ elif blog_title:
+ # If we only have title, use it
+ text_to_image = blog_title
+ elif blog_meta_desc:
+ # If we only have description, use it
+ text_to_image = blog_meta_desc
+ else:
+ # Fallback to first 200 chars of content
+ text_to_image = blog_markdown_str[:200]
+
+ # Ensure the prompt is of reasonable length
+ if len(text_to_image) > 300:
+ text_to_image = text_to_image[:300]
+
+ # Log the prompt being used
+ logger.info(f"Generating image with prompt: {text_to_image}")
+ status.update(label=f"πΌοΈ Creating image with prompt: \"{text_to_image[:50]}...\"")
+
+ # Attempt image generation
+ generated_image_filepath = generate_image(text_to_image)
+
+ # If first attempt failed, try with a simplified prompt
+ if not generated_image_filepath:
+ logger.warning("First image generation attempt failed, trying with simplified prompt")
+ status.update(label="β οΈ First image attempt failed, trying again with simplified prompt...")
+
+ # Create a simpler prompt
+ simplified_prompt = " ".join(text_to_image.split()[:10])
+ generated_image_filepath = generate_image(simplified_prompt)
+
+ if generated_image_filepath:
+ status.update(label="β
Successfully generated featured image")
+ return generated_image_filepath
+ else:
+ status.update(label="β Image generation failed - no image created", state="error")
+ return None
+
+ except Exception as err:
+ st.warning(f"Failed in Image generation: {err}")
+ logger.error(f"Failed in Image generation: {err}")
+ status.update(label="β Image generation failed - no image created", state="error")
+ return None
+
+
+def regenerate_blog_image(blog_title, blog_meta_desc, blog_markdown_str):
+ """
+ Regenerate a blog image on demand.
+
+ Args:
+ blog_title (str): Blog title
+ blog_meta_desc (str): Blog meta description
+ blog_markdown_str (str): Blog content
+
+ Returns:
+ str: Path to the generated image or None if generation failed
+ """
+ with st.status("Regenerating image...", expanded=True) as status:
+ try:
+ # Use keywords from title or description
+ if blog_title:
+ keywords = " ".join(blog_title.split()[:6])
+ prompt = f"Blog illustration for: {keywords}"
+ elif blog_meta_desc:
+ keywords = " ".join(blog_meta_desc.split()[:6])
+ prompt = f"Blog illustration for: {keywords}"
+ else:
+ keywords = blog_markdown_str.split()[:50]
+ prompt = f"Blog illustration based on: {' '.join(keywords[:6])}"
+
+ status.update(label=f"πΌοΈ Generating new image with prompt: \"{prompt}\"")
+
+ # Generate the image
+ generated_image_filepath = generate_image(prompt)
+
+ if generated_image_filepath:
+ status.update(label="β
Successfully generated new image", state="complete")
+ return generated_image_filepath
+ else:
+ status.update(label="β Image regeneration failed", state="error")
+ return None
+
+ except Exception as err:
+ st.error(f"Failed to regenerate image: {err}")
+ logger.error(f"Image regeneration error: {err}")
+ status.update(label="β Image regeneration failed", state="error")
+ return None
+
+
+def save_blog_content(blog_markdown_str, blog_title, blog_meta_desc, blog_tags, blog_categories, generated_image_filepath, status):
+ """
+ Save the blog content to a file.
+
+ Args:
+ blog_markdown_str (str): Blog content
+ blog_title (str): Blog title
+ blog_meta_desc (str): Blog meta description
+ blog_tags (list): Blog tags
+ blog_categories (list): Blog categories
+ generated_image_filepath (str): Path to the generated image
+ status: Streamlit status object
+
+ Returns:
+ str: Path to the saved file or None if saving failed
+ """
+ try:
+ status.update(label="πΎ Saving blog content to file...")
+ saved_blog_to_file = save_blog_to_file(blog_markdown_str, blog_title, blog_meta_desc,
+ blog_tags, blog_categories, generated_image_filepath)
+ status.update(label=f"β
Saved the content to: {saved_blog_to_file}")
+ return saved_blog_to_file
+ except Exception as err:
+ st.error(f"Failed to save blog to file: {err}")
+ logger.error(f"Failed to save blog to file: {err}")
+ status.update(label="β Failed to save blog to file", state="error")
+ return None
+
+
+def generate_audio_version(blog_markdown_str, status=None):
+ """
+ Generate an audio version of the blog content.
+
+ Args:
+ blog_markdown_str (str): Blog content
+ status: Streamlit status object (optional)
+
+ Returns:
+ bool: True if audio generation was successful, False otherwise
+ """
+ try:
+ if status:
+ status.update(label="π Generating audio version of the blog...")
+ else:
+ st.info("π Generating audio version...")
+
+ # Only generate audio for reasonable-sized blogs (to avoid errors with very large text)
+ if blog_markdown_str and len(blog_markdown_str) < 50000: # Max ~50KB of text
+ tts = gTTS(text=blog_markdown_str[:40000], lang='en', slow=False) # Use first 40K chars to be safe
+ tts.save("delete_me.mp3")
+ st.audio("delete_me.mp3")
+ st.download_button(
+ label="π₯ Download Audio File",
+ data=open("delete_me.mp3", "rb").read(),
+ file_name="blog_audio.mp3",
+ mime="audio/mp3"
+ )
+ if status:
+ status.update(label="β
Audio version generated successfully", state="complete")
+ else:
+ st.success("β
Audio version generated successfully")
+ return True
+ else:
+ st.warning("Blog content too large for audio generation")
+ if status:
+ status.update(label="β οΈ Blog content too large for audio generation", state="complete")
+ return False
+ except Exception as err:
+ st.warning(f"Failed to generate audio version: {err}")
+ logger.error(f"Failed to generate audio version: {err}")
+ if status:
+ status.update(label="β Failed to generate audio version", state="error")
+ return False
+
+
+def write_blog_from_keywords(search_keywords, url=None, search_params=None, blog_params=None):
"""
This function will take a blog Topic to first generate sections for it
and then generate content for each section.
+
+ Args:
+ search_keywords (str): Keywords to research and write about
+ url (str, optional): Optional URL to use as a source
+ search_params (dict, optional): Dictionary of search parameters including:
+ - max_results: Maximum number of search results (default: 10)
+ - search_depth: "basic" or "advanced" search depth (default: "basic")
+ - include_domains: List of domains to prioritize in search
+ - time_range: Time range for results (default: "year")
+ blog_params (dict, optional): Dictionary of blog content characteristics including:
+ - blog_length: Target word count (default: 2000)
+ - blog_tone: Tone of the content (default: "Professional")
+ - blog_demographic: Target audience (default: "Professional")
+ - blog_type: Type of blog post (default: "Informational")
+ - blog_language: Language for the blog (default: "English")
+ - blog_output_format: Format for the blog (default: "markdown")
"""
- # Use to store the blog in a string, to save in a *.md file.
+ # Initialize parameters with defaults
+ search_params, blog_params = initialize_parameters(search_params, blog_params)
+
+ # Create a placeholder for the final blog content
+ final_content_placeholder = st.empty()
+
+ # Create progress tracking
+ progress_placeholder = st.empty()
+ with progress_placeholder.container():
+ progress_bar = st.progress(0)
+ status_text = st.empty()
+
+ def update_progress(step, total_steps, message):
+ """Update the progress bar and status message"""
+ progress_value = min(step / total_steps, 1.0)
+ progress_bar.progress(progress_value)
+ status_text.info(f"Step {step}/{total_steps}: {message}")
+
+ # Set up processing variables
blog_markdown_str = None
- tavily_search_result = None
example_blog_titles = []
-
+ google_search_success = False
+ tavily_search_success = False
+ blog_title = None
+ blog_meta_desc = None
+ blog_tags = None
+ blog_categories = None
+ generated_image_filepath = None
+ saved_blog_to_file = None
+
+ # STEP 1: Research phase
+ update_progress(1, 5, f"Starting web research on '{search_keywords}'")
logger.info(f"Researching and Writing Blog on keywords: {search_keywords}")
- with st.status("Started Web Research..", expanded=True) as status:
- st.empty()
- status.update(label="Researching and Writing Blog on keywords.")
- # Call on the got-researcher, tavily apis for this. Do google search for organic competition.
- try:
- google_search_result, g_titles = do_google_serp_search(search_keywords)
- if google_search_result:
- status.update(label=f"π Finished with Google web for Search: {search_keywords}")
+
+ # Create a section header for the research phase
+ st.subheader("π Web Research Progress")
+
+ # Use a container instead of an expander
+ research_container = st.container()
+ with research_container:
+ # Create a status element for research updates
+ with st.status("Web research in progress...", expanded=True) as status:
+ status.update(label=f"π Performing web research on: {search_keywords}")
+
+ # Create status container and progress tracking for Google SERP
+ status_container = st.empty()
+ research_progress = st.progress(0)
+
+ # Google Search
+ status.update(label="π Performing Google search...")
+ google_search_result, g_titles, google_search_success = perform_google_search(
+ search_keywords, search_params, status, status_container, research_progress
+ )
+ if g_titles:
example_blog_titles.append(g_titles)
+ status.update(label=f"β
Google search complete - found {len(g_titles)} relevant resources")
else:
- st.warning("Failed to Google SERP results.")
- except Exception as err:
- st.warning(f"Failed in Google web research: {err}")
- logger.error(f"Failed in Google web research: {err}")
+ status.update(label="β οΈ Google search yielded limited results")
+
+ # Tavily Search
+ status.update(label="π Performing Tavily AI search...")
+ tavily_search_result, tavily_search_success = perform_tavily_search(
+ search_keywords, search_params, status
+ )
+
+ if tavily_search_success:
+ status.update(label="β
Tavily AI search complete", state="complete")
+ elif google_search_success:
+ status.update(label="β οΈ Tavily search had issues, but Google search was successful")
+ else:
+ status.update(label="β Both search methods encountered issues", state="error")
+
+ # Clear the progress indicators
+ status_container.empty()
+ research_progress.empty()
+
+ # Check if both searches failed - if so, stop the process
+ if not google_search_success and not tavily_search_success:
+ update_progress(5, 5, "Research failed")
+ progress_placeholder.error("β Both Google SERP and Tavily AI searches failed. Unable to generate blog content.")
+ st.warning("Please check your API keys in the environment settings and try again.")
+ st.stop()
+ return None
+
+ # STEP 2: Content generation phase
+ update_progress(2, 5, "Generating blog content from research")
+
+ # Create a section header for the content generation phase
+ st.subheader("βοΈ Content Generation Progress")
+
+ # Use a container instead of an expander
+ content_container = st.container()
+ with content_container:
+ # Create a status element for content generation updates
+ with st.status("Content generation in progress...", expanded=True) as status:
+ if google_search_success:
+ source = "Google search results"
+ else:
+ source = "Tavily AI research"
+
+ status.update(label=f"π Creating {blog_params.get('blog_tone')} {blog_params.get('blog_type')} content for {blog_params.get('blog_demographic')} audience...")
+
+ blog_markdown_str = generate_blog_content(
+ search_keywords, google_search_result, tavily_search_result,
+ google_search_success, tavily_search_success, blog_params, status
+ )
+
+ if blog_markdown_str:
+ status.update(label=f"β
Successfully generated ~{len(blog_markdown_str.split())} words of content using {source}", state="complete")
+ else:
+ status.update(label="β Content generation failed", state="error")
+ update_progress(5, 5, "Content generation failed")
+ progress_placeholder.error("β Failed to generate blog content from research data.")
+ st.stop()
+ return None
+
+ # STEP 3: Metadata & enhancement phase
+ update_progress(3, 5, "Generating SEO metadata and enhancements")
+
+ # Create a section header for the enhancement phase
+ st.subheader("π SEO & Enhancement Progress")
+
+ # Use a container instead of an expander
+ enhancement_container = st.container()
+ with enhancement_container:
+ # Create a status element for enhancement updates
+ with st.status("Enhancing content...", expanded=True) as status:
+ # Generate metadata
+ status.update(label="π·οΈ Generating SEO metadata (title, description, tags)...")
+ blog_title, blog_meta_desc, blog_tags, blog_categories = generate_blog_metadata(
+ blog_markdown_str, search_keywords, status
+ )
+
+ if blog_title and blog_meta_desc:
+ status.update(label=f"β
Generated metadata: \"{blog_title}\"")
+
+ # Generate featured image
+ status.update(label="πΌοΈ Creating featured image...")
+ generated_image_filepath = generate_blog_image(
+ blog_title, blog_meta_desc, blog_markdown_str, status
+ )
+
+ # Save blog content to file
+ status.update(label="πΎ Saving blog content...")
+ saved_blog_to_file = save_blog_content(
+ blog_markdown_str, blog_title, blog_meta_desc, blog_tags,
+ blog_categories, generated_image_filepath, status
+ )
+
+ status.update(label="β
Content enhancement complete", state="complete")
+ else:
+ status.update(label="β οΈ Metadata generation had issues, using simplified format", state="warning")
+
+ # STEP 4: Final presentation
+ update_progress(4, 5, "Preparing final blog presentation")
+
+ # Now display the final blog content
+ with final_content_placeholder.container():
+ st.markdown("---")
+ st.header("π Generated Blog Content")
+
+ # Display metadata
+ if blog_title:
+ st.title(blog_title)
+
+ if blog_meta_desc:
+ st.markdown(f"*{blog_meta_desc}*")
+
+ if blog_tags:
+ st.markdown(f"**Tags:** {', '.join(blog_tags)}")
+
+ if blog_categories:
+ st.markdown(f"**Categories:** {', '.join(blog_categories)}")
+
+ # Image section with regeneration option
+ st.subheader("πΌοΈ Featured Image")
+ image_container = st.container()
+
+ # Display featured image
+ with image_container:
+ if generated_image_filepath:
+ st.image(generated_image_filepath, caption=blog_title or "Featured Image", use_column_width=True)
+
+ # Add regenerate button
+ if st.button("π Regenerate Image", key="regenerate_image"):
+ new_image_path = regenerate_blog_image(blog_title, blog_meta_desc, blog_markdown_str)
+ if new_image_path:
+ generated_image_filepath = new_image_path
+ st.rerun() # Refresh the page to show the new image
+ else:
+ st.info("No featured image was generated. Click below to generate one.")
+ if st.button("πΌοΈ Generate Image", key="generate_image"):
+ new_image_path = regenerate_blog_image(blog_title, blog_meta_desc, blog_markdown_str)
+ if new_image_path:
+ generated_image_filepath = new_image_path
+ st.rerun() # Refresh the page to show the new image
+
+ # Display blog content
+ st.markdown("## Content")
+ st.markdown(blog_markdown_str)
+
+ # Show file save information if available
+ if saved_blog_to_file:
+ st.success(f"β
Blog saved to: {saved_blog_to_file}")
+
+ # Add the audio generation button
+ st.markdown("---")
+ audio_col1, audio_col2 = st.columns([1, 3])
+ with audio_col1:
+ generate_audio_button = st.button("π Generate Audio Version", use_container_width=True)
+
+ with audio_col2:
+ if generate_audio_button:
+ generate_audio_version(blog_markdown_str)
+
+ # Final progress update
+ update_progress(5, 5, "Blog generation complete!")
+
+ # Replace progress bar with success message
+ progress_placeholder.success("β
Blog generation process completed successfully!")
+
+ return blog_markdown_str
+# Local wrapper functions to handle the parameter mismatch
+def do_google_serp_search(search_keywords, status_container=None, update_progress=None, **kwargs):
+ """
+ Wrapper function to handle the parameter mismatch with the original function.
+ """
+ try:
+ if status_container is None:
+ status_container = st.empty()
+
+ if update_progress is None:
+ def update_progress(message, progress=None, level="info"):
+ if level == "error":
+ status_container.error(message)
+ elif level == "warning":
+ status_container.warning(message)
+ else:
+ status_container.info(message)
+
+ # Create a fixed update_progress function that handles any progress type
+ def safe_update_progress(message, progress=None, level="info"):
+ try:
+ # Handle progress value of different types
+ if progress is not None:
+ if isinstance(progress, str):
+ # Try to convert string to float if it represents a number
+ try:
+ progress = float(progress)
+ except ValueError:
+ # If conversion fails, just log the message without updating progress
+ progress = None
+
+ # Call the original update_progress with sanitized values
+ update_progress(message, progress, level)
+ except Exception as err:
+ # If there's an error in the progress function, just log to console
+ logger.error(f"Error in progress update: {err}")
+ # Try one more time with just the message
+ try:
+ update_progress(message, None, level)
+ except:
+ pass
+
+ # Set default search parameters - fix the parameter to use 'max_results' not 'num_results'
+ search_params = {
+ "max_results": kwargs.get("max_results", 10),
+ "include_domains": kwargs.get("include_domains", []),
+ "search_depth": kwargs.get("search_depth", "basic")
+ }
+
+ # Update status to indicate we're checking API keys
+ status_container.info("π Checking required API keys...")
+
+ # Call the original function with the required parameters
+ result = gpt_do_google_serp_search(search_keywords, status_container, safe_update_progress, **search_params)
+ return result
+
+ except Exception as e:
+ error_msg = str(e)
+ logger.error(f"Error in do_google_serp_search wrapper: {error_msg}")
+
+ # Check for common error patterns and display user-friendly messages
+ if "SERPER_API_KEY is missing" in error_msg:
+ status_container.error("π Google search API key (SERPER_API_KEY) is missing. Please check your environment settings.")
+ st.error("Google SERP search failed: API key is missing. Using alternative methods.")
+ elif "Progress Value has invalid type" in error_msg:
+ # This is an internal error, log it but show a more user-friendly message
+ status_container.warning("β οΈ Internal progress tracking error. Continuing with search.")
+ else:
+ # For unknown errors, show the full error message
+ status_container.error(f"π« Google search error: {error_msg}")
+ st.error(f"Google SERP search failed: {error_msg}")
+
+ # Return a minimal result structure to prevent downstream errors
+ return {
+ 'results': {},
+ 'titles': [],
+ 'summary': f"Error occurred during search: {error_msg}",
+ 'stats': {
+ 'organic_count': 0,
+ 'questions_count': 0,
+ 'related_count': 0
+ }
+ }
+
+def do_tavily_ai_search(keywords, max_results=10, search_depth="basic", include_domains=None, time_range="year"):
+ """
+ Wrapper function for Tavily search to handle parameter differences.
+
+ Args:
+ keywords (str): Keywords to search for
+ max_results (int): Maximum number of search results to return
+ search_depth (str): "basic" or "advanced" search depth
+ include_domains (list): List of domains to prioritize in search
+ time_range (str): Time range for results ("day", "week", "month", "year", "all")
+ """
+ status_container = st.empty()
+
+ if include_domains is None:
+ include_domains = []
+
+ try:
+ # Show status message
+ status_container.info(f"π Preparing Tavily AI search with {search_depth} depth...")
+
+ # FIXED: Ensure all parameters have correct types to prevent comparison errors
+ tavily_params = {
+ 'max_results': int(max_results), # Explicitly convert to int
+ 'search_depth': str(search_depth), # Ensure this is a string
+ 'include_domains': include_domains,
+ 'time_range': str(time_range)
+ }
+
+ # Log the parameters for debugging
+ logger.info(f"Tavily search parameters: {tavily_params}")
+
+ # Check for API key before making the request
+ tavily_api_key = os.environ.get("TAVILY_API_KEY")
+ if not tavily_api_key:
+ status_container.error("π Tavily API key (TAVILY_API_KEY) is missing. Please check your environment settings.")
+ st.error("Tavily search failed: API key is missing. Using alternative methods.")
+ return None, [], "API key missing"
+
+ status_container.info(f"π Searching with Tavily AI using {search_depth} depth for: {keywords}")
+
+ # Direct implementation without calling gpt_do_tavily_ai_search to avoid type issues
try:
- status.update(label=f"π Starting Tavily AI research: {search_keywords}")
- tavily_search_result, t_titles, t_answer = do_tavily_ai_search(search_keywords)
- status.update(label=f"π Finished Google Search & Tavily AI Search on: {search_keywords}",
- state="complete", expanded=False)
- except Exception as err:
- st.warning(f"Failed in Tavily web research: {err}")
- logger.error(f"Failed in Tavily web research: {err}")
-
-
- with st.status("Started Writing blog from google search..", expanded=True) as status:
- status.update(label="Researching and Writing Blog on keywords.")
- # Call on the got-researcher, tavily apis for this. Do google search for organic competition.
- try:
- status.update(label=f"π Writing blog from Google Search on: {search_keywords}")
- blog_markdown_str = write_blog_google_serp(search_keywords, google_search_result)
- st.markdown(blog_markdown_str)
- status.update(label="π Draft 1: Your Content from Google search result.", state="complete", expanded=False)
- except Exception as err:
- status.update(label="π Failed Content from Google SERP.", state="error", expanded=False)
- st.error(f"Failed in Google web research: {err}")
- logger.error(f"Failed in Google web research: {err}")
-
- # logger.info/check the final blog content.
- logger.info("######### Draft1: Finished Blog from Google web search: ###########")
-
- with st.status("Started Writing blog from Tavily Web search..", expanded=True) as status:
- # Do Tavily AI research to augment the above blog.
- try:
- # example_blog_titles.append(t_titles)
- if tavily_search_result:
- logger.info(f"\n\n######### Blog content after Tavily AI research: ######### \n\n")
- blog_markdown_str = write_blog_google_serp(search_keywords, tavily_search_result)
- status.update(label=f"Finished Writing Blog From Tavily Results:{blog_markdown_str}", expanded=True)
- except Exception as err:
- status.update(label="π Failed content from Tavily search.", state="error", expanded=False)
- logger.error(f"Failed to do Tavily AI research: {err}")
-
- status.update(label="π Generating - Title, Meta Description, Tags, Categories for the content.", expanded=True)
- try:
- blog_title, blog_meta_desc, blog_tags, blog_categories = asyncio.run(blog_metadata(blog_markdown_str))
- except Exception as err:
- st.error(f"Failed to get blog metadata: {err}")
-
- generated_image_filepath = None
- try:
- # FIXME: Temporary fix.
- text_to_image = f"{blog_title} + ' ' + {blog_meta_desc}"
- if not text_to_image:
- text_to_image = blog_markdown_str
- generated_image_filepath = generate_image(text_to_image)
- except Exception as err:
- st.warning(f"Failed in Image generation: {err}")
-
- saved_blog_to_file = save_blog_to_file(blog_markdown_str, blog_title, blog_meta_desc,
- blog_tags, blog_categories, generated_image_filepath)
- status.update(label=f"Saved the content in this file: {saved_blog_to_file}")
- logger.info(f"\n\n --------- Finished writing Blog for : {search_keywords} -------------- \n")
-
- # Render the result on streamlit UI
- if generated_image_filepath:
- st.image(generated_image_filepath)
- st.markdown(f"{blog_markdown_str}")
- status.update(label=f"Finished, Review & Use your Original Content Below: {saved_blog_to_file}",
- state="complete")
-
- # Passing the text and language to the engine, here we have marked slow=False. Which tells
- # the module that the converted audio should have a high speed
- tts = gTTS(text=blog_markdown_str, lang='en', slow=False)
- # Saving the converted audio in a mp3 file
- tts.save("delete_me.mp3")
- st.audio("delete_me.mp3")
+ from ..ai_web_researcher.tavily_ai_search import do_tavily_ai_search as tavily_direct_search
+ # Call the function directly with correct parameter types
+ tavily_raw_results = tavily_direct_search(
+ keywords,
+ max_results=tavily_params['max_results'],
+ search_depth=tavily_params['search_depth'],
+ include_domains=tavily_params['include_domains'],
+ time_range=tavily_params['time_range']
+ )
+
+ # Extract the needed information
+ if isinstance(tavily_raw_results, tuple) and len(tavily_raw_results) == 3:
+ # If already in the right format, use it directly
+ return tavily_raw_results
+
+ # Process the results to extract titles and answer
+ t_results = tavily_raw_results
+ t_titles = []
+ t_answer = ""
+
+ # Extract titles from results if available
+ if isinstance(t_results, dict):
+ if 'results' in t_results and isinstance(t_results['results'], list):
+ t_titles = [r.get('title', '') for r in t_results['results']]
+ status_container.success(f"β
Found {len(t_titles)} relevant articles")
+ if 'answer' in t_results:
+ t_answer = t_results['answer']
+ status_container.success("β
Generated a summary answer")
+
+ return t_results, t_titles, t_answer
+
+ except ImportError:
+ # Fall back to the original function if direct import fails
+ status_container.warning("β οΈ Using fallback Tavily search method...")
+ logger.warning("Using fallback Tavily search method")
+
+ # FIXED: Alternative approach - wrap the call in try/except to handle type errors
+ try:
+ tavily_result = gpt_do_tavily_ai_search(keywords, **tavily_params)
+
+ # Format the result to match what the blog writer expects
+ if isinstance(tavily_result, tuple) and len(tavily_result) == 3:
+ status_container.success("β
Tavily search completed successfully")
+ return tavily_result
+
+ # If not a tuple with expected values, try to extract what we need
+ t_results = tavily_result
+
+ # Extract titles and answer if available
+ t_titles = []
+ t_answer = ""
+
+ if isinstance(t_results, dict):
+ if 'results' in t_results and isinstance(t_results['results'], list):
+ t_titles = [r.get('title', '') for r in t_results['results']]
+ status_container.success(f"β
Found {len(t_titles)} relevant articles")
+ if 'answer' in t_results:
+ t_answer = t_results['answer']
+ status_container.success("β
Generated a summary answer")
+
+ return t_results, t_titles, t_answer
+
+ except TypeError as type_err:
+ # Handle the specific type error more gracefully
+ error_msg = str(type_err)
+ logger.error(f"Type error in Tavily search: {error_msg}")
+
+ if "'>' not supported" in error_msg:
+ status_container.error("π« Tavily search parameter type error. Trying alternative approach...")
+
+ # Try a simpler approach with minimal parameters
+ try:
+ # Call with only the keyword and fixed max_results
+ tavily_result = gpt_do_tavily_ai_search(keywords, max_results=10)
+
+ # Minimal processing to extract titles and answer
+ t_results = tavily_result
+ t_titles = []
+ t_answer = ""
+
+ if isinstance(t_results, dict):
+ if 'results' in t_results and isinstance(t_results['results'], list):
+ t_titles = [r.get('title', '') for r in t_results['results']]
+ if 'answer' in t_results:
+ t_answer = t_results['answer']
+
+ return t_results, t_titles, t_answer
+ except Exception as inner_err:
+ logger.error(f"Alternative Tavily approach also failed: {inner_err}")
+ raise
+ else:
+ # Re-raise other type errors
+ raise
+
+ except Exception as e:
+ error_msg = str(e)
+ logger.error(f"Error in do_tavily_ai_search wrapper: {error_msg}")
+
+ # Display user-friendly error message
+ status_container.error(f"π« Tavily search error: {error_msg}")
+ st.error(f"Tavily AI search failed: {error_msg}")
+
+ # Return empty results to prevent downstream errors
+ return None, [], f"Error: {error_msg}"
+
+ finally:
+ # Clear the status container after a delay
+ time.sleep(2)
+ status_container.empty()
diff --git a/lib/ai_writers/long_form_ai_writer.py b/lib/ai_writers/long_form_ai_writer.py
index d3401236..ab6db880 100644
--- a/lib/ai_writers/long_form_ai_writer.py
+++ b/lib/ai_writers/long_form_ai_writer.py
@@ -53,216 +53,177 @@ def generate_with_retry(prompt, system_prompt=None):
return False
-def long_form_generator(content_keywords):
+def long_form_generator(keywords, search_params=None, blog_params=None):
"""
- Write long form content using prompt chaining and iterative generation.
+ Generate a long-form blog post based on the given keywords
- Parameters:
- content_keywords (str): The main keywords or topic for the long-form content.
+ Args:
+ keywords (str): Topic or keywords for the blog post
+ search_params (dict, optional): Search parameters for research
+ blog_params (dict, optional): Blog content characteristics
+ """
+
+ # Initialize default parameters if not provided
+ if blog_params is None:
+ blog_params = {
+ "blog_length": 3000, # Default longer for long-form content
+ "blog_tone": "Professional",
+ "blog_demographic": "Professional",
+ "blog_type": "Informational",
+ "blog_language": "English"
+ }
+ else:
+ # Ensure we have a higher word count for long-form content
+ if blog_params.get("blog_length", 0) < 2500:
+ blog_params["blog_length"] = max(3000, blog_params.get("blog_length", 0))
+
+ # Extract parameters with defaults
+ blog_length = blog_params.get("blog_length", 3000)
+ blog_tone = blog_params.get("blog_tone", "Professional")
+ blog_demographic = blog_params.get("blog_demographic", "Professional")
+ blog_type = blog_params.get("blog_type", "Informational")
+ blog_language = blog_params.get("blog_language", "English")
+
+ st.subheader(f"Long-form {blog_type} Blog ({blog_length}+ words)")
+
+ with st.status("Generating comprehensive long-form content...", expanded=True) as status:
+ # Step 1: Generate outline
+ status.update(label="Creating detailed content outline...")
+
+ # Use a customized prompt based on the blog parameters
+ outline_prompt = f"""
+ As an expert content strategist writing in a {blog_tone} tone for {blog_demographic} audience,
+ create a detailed outline for a comprehensive {blog_type} blog post about "{keywords}"
+ that will be approximately {blog_length} words in {blog_language}.
+
+ The outline should include:
+ 1. An engaging headline
+ 2. 5-7 main sections with descriptive headings
+ 3. 2-3 subsections under each main section
+ 4. Key points to cover in each section
+ 5. Ideas for relevant examples or case studies
+ 6. Suggestions for data points or statistics to include
+
+ Format the outline in markdown with proper headings and bullet points.
+ """
+
+ try:
+ outline = llm_text_gen(outline_prompt)
+ st.markdown("### Content Outline")
+ st.markdown(outline)
+ status.update(label="Outline created successfully β")
+
+ # Step 2: Research the topic using the search parameters
+ status.update(label="Researching topic details...")
+ research_results = research_topic(keywords, search_params)
+ status.update(label="Research completed β")
+
+ # Step 3: Generate the full content
+ status.update(label=f"Writing {blog_length}+ word {blog_tone} {blog_type} content...")
+
+ full_content_prompt = f"""
+ You are a professional content writer who specializes in {blog_type} content with a {blog_tone} tone
+ for {blog_demographic} audiences. Write a comprehensive, in-depth blog post in {blog_language} about:
+
+ "{keywords}"
+
+ Use this outline as your structure:
+ {outline}
+
+ And incorporate these research findings where relevant:
+ {research_results}
+
+ The blog post should:
+ - Be approximately {blog_length} words
+ - Include an engaging introduction and strong conclusion
+ - Use appropriate subheadings for all sections in the outline
+ - Include examples, data points, and actionable insights
+ - Be formatted in markdown with proper headings, bullet points, and emphasis
+ - Maintain a {blog_tone} tone throughout
+ - Address the needs and interests of a {blog_demographic} audience
+
+ Do not include phrases like "according to research" or "based on the outline" in your content.
+ """
+
+ full_content = llm_text_gen(full_content_prompt)
+ status.update(label="Long-form content generated successfully! β", state="complete")
+
+ # Display the full content
+ st.markdown("### Your Complete Long-form Blog Post")
+ st.markdown(full_content)
+
+ return full_content
+
+ except Exception as e:
+ status.update(label=f"Error generating long-form content: {str(e)}", state="error")
+ st.error(f"Failed to generate long-form content: {str(e)}")
+ return None
+
+def research_topic(keywords, search_params=None):
+ """
+ Research a topic using search parameters and return a summary
+
+ Args:
+ keywords (str): Topic to research
+ search_params (dict, optional): Search parameters
Returns:
- str: The generated long-form content.
+ str: Research summary
"""
- with st.status("Start Writing Long Form Article, Hold my Beer..", expanded=True) as status:
- # Read the main_config to define tone, character, personality of the content to be generated.
- try:
- status.update(label=f"Starting to write content on {content_keywords}.")
- logger.info(f"Starting to write content on {content_keywords}.")
- # Define persona and writing guidelines
- content_tone, target_audience, content_type, content_language, output_format, content_length = read_return_config_section('blog_characteristics')
- except Exception as err:
- logger.error(f"Failed to Read config params from main_config: {err}")
- st.error(f"Failed to Read config params from main_config: {err}")
- return False
+ # Display a placeholder for research results
+ placeholder = st.empty()
+ placeholder.info("Researching topic... Please wait.")
- try:
- filepath = os.path.join(os.environ["PROMPTS_DIR"], "long_form_ai_writer.prompts")
- status.update(label=f"Reading Prompts from {filepath}.")
- # Check if file exists
- if not os.path.exists(filepath):
- raise FileNotFoundError(f"File {filepath} does not exist")
- with open(filepath, 'r') as file:
- prompts = yaml.safe_load(file)
- except Exception as err:
- st.error(f"Exit: Failed to read prompts from {filepath}: {err}")
- logger.error(f"Exit: Failed to read prompts from {filepath}: {err}")
- exit(1)
-
- writing_guidelines = prompts.get('writing_guidelines').format(
- content_language=content_language,
- content_tone=content_tone,
- content_type=content_type,
- output_format=output_format,
- content_keywords=content_keywords,
- target_audience=target_audience
- )
-
- content_title = prompts.get('content_title').format(
- content_language=content_language,
- content_keywords=content_keywords,
- target_audience=target_audience
+ try:
+ from .keywords_to_blog_streamlit import do_tavily_ai_search
+
+ # Use provided search params or defaults
+ if search_params is None:
+ search_params = {
+ "max_results": 10,
+ "search_depth": "advanced",
+ "time_range": "year"
+ }
+
+ # Conduct research using Tavily
+ tavily_results = do_tavily_ai_search(
+ keywords,
+ max_results=search_params.get("max_results", 10),
+ search_depth=search_params.get("search_depth", "advanced"),
+ include_domains=search_params.get("include_domains", []),
+ time_range=search_params.get("time_range", "year")
)
- content_outline = prompts.get('content_outline').format(
- content_language=content_language,
- content_title='{content_title}',
- content_type=content_type,
- target_audience=target_audience
- )
+ # Extract research data
+ research_data = ""
+ if tavily_results and len(tavily_results) == 3:
+ results, titles, answer = tavily_results
+
+ if answer and len(answer) > 50:
+ research_data += f"Summary: {answer}\n\n"
+
+ if results and 'results' in results and len(results['results']) > 0:
+ research_data += "Key Sources:\n"
+ for i, result in enumerate(results['results'][:7], 1):
+ title = result.get('title', 'Untitled Source')
+ content_snippet = result.get('content', '')[:300] + "..."
+ research_data += f"{i}. {title}\n{content_snippet}\n\n"
- starting_prompt = prompts.get('starting_prompt').format(
- content_language=content_language,
- content_title='{content_title}',
- content_outline='{content_outline}',
- writing_guidelines=writing_guidelines
- )
+ # If research data is empty or too short, provide a generic response
+ if not research_data or len(research_data) < 100:
+ research_data = f"No specific research data found for '{keywords}'. Please provide more specific information in your content."
- continuation_prompt = prompts.get('continuation_prompt').format(
- content_language=content_language,
- content_title='{content_title}',
- content_outline='{content_outline}',
- content_text='{content_text}',
- web_research_result='{web_research_result}',
- writing_guidelines=writing_guidelines
- )
-
- # Do SERP web research for given keywords to generate title and outline.
- web_research_result, g_titles = do_google_serp_search(content_keywords)
-
- # Generate prompts
- try:
- content_title = generate_with_retry(content_title.format(web_research_result=web_research_result))
- logger.info(f"The title of the content is: {content_title}")
- status.update(label=f"The title of the content is: {content_title}")
- except Exception as err:
- logger.error(f"Content title Generation Error: {err}")
- return False
+ placeholder.success("Research completed successfully!")
+ return research_data
- try:
- content_outline = generate_with_retry(content_outline.format(
- content_title=content_title,
- web_research_result=web_research_result))
- logger.info(f"The content Outline is: {content_outline}\n\n")
- status.update(label=f"Completed with Content Outline.")
- except Exception as err:
- logger.error(f"Failed to generate content outline: {err}")
- return False
-
- try:
- status.update(label=f"Do web research with Tavily to provide context for content creation.")
- logger.info("Do web research with Tavily to provide context for content creation.")
- # Do Metaphor/Exa AI search.
- table_data = []
- web_research_result, m_titles, t_titles = do_tavily_ai_search(content_keywords, max_results=5)
- for item in web_research_result.get("results"):
- title = item.get("title", "")
- snippet = item.get("content", "")
- table_data.append([title, snippet])
- web_research_result = table_data
- except Exception as err:
- logger.error(f"Failed to do Tavily AI search: {err}")
- st.error(f"Failed to do Tavily AI search: {err}")
- return False
-
- try:
- starting_draft = generate_with_retry(starting_prompt.format(
- content_title=content_title,
- content_outline=content_outline,
- web_research_result=web_research_result,
- writing_guidelines=writing_guidelines))
- except Exception as err:
- st.error(f"Failed to Generate Starting draft: {err}")
- logger.error(f"Failed to Generate Starting draft: {err}")
- return False
-
- try:
- logger.info(f"Starting to write on the outline introduction.")
- draft = starting_draft
- continuation = generate_with_retry(continuation_prompt.format(
- content_title=content_title,
- content_outline=content_outline,
- content_text=draft,
- web_research_result=web_research_result,
- writing_guidelines=writing_guidelines))
- except Exception as err:
- logger.error(f"Failed to write the initial draft: {err}")
- return False
-
- # Add the continuation to the initial draft, keep building the story until we see 'IAMDONE'
- try:
- draft += '\n\n' + continuation
- except Exception as err:
- logger.error(f"Failed as: {err} and {continuation}")
- return False
-
- logger.info(f"Writing in progress... Current draft length: {len(draft)} characters")
- status.update(label=f"Writing in progress... Current draft length: {len(draft)} characters")
- search_terms = f"""
- I will provide you with content outline below, your task is to read the outline & return 8 google search keywords.
- Your response will be used to do web research for writing on the given outline.
- Do not explain your response, provide 8 google search sentences encompassing the given content outline.
- Important: Provide the search term results as comma separated values.\n\n
- Content Outline:\n
- '{content_outline}'
- """
- search_words = generate_with_retry(search_terms)
- status.update(label=f"Search terms from written draft: {search_words}")
-
- while 'IAMDONE' not in continuation:
- #web_research_result, m_titles = do_metaphor_ai_research(content_keywords)
- str_list = re.split(r',\s*', search_words)
- # Strip quotes from each element
- str_list = [s.strip('\'"') for s in str_list]
-
-# for search_term in str_list:
-# web_research_result, m_titles, t_titles = do_tavily_ai_search(search_term, max_results=5)
-# status.update(label=f"Search terms from written draft: {search_term}")
-# for item in web_research_result.get("results"):
-# title = item.get("title", "")
-# snippet = item.get("content", "")
-# table_data.append([title, snippet])
-# web_research_result = table_data
-
- try:
- continuation = generate_with_retry(continuation_prompt.format(
- content_title=content_title,
- content_outline=content_outline,
- content_text=draft,
- web_research_result=web_research_result,
- writing_guidelines=writing_guidelines))
-
- draft += '\n\n' + continuation
- logger.info(f"Writing in progress... Current draft length: {len(draft)} characters")
- status.update(label=f"Writing in progress... Current draft length: {len(draft)} characters")
- # At this point, the context is little stale. We should more web research on
- # related queries as per the content outline, to augment the LLM context.
- except Exception as err:
- st.error(f"Failed to continually write long-form content: {err}")
- logger.error(f"Failed to continually write the Essay: {err}")
- return False
-
- # Remove 'IAMDONE' and print the final story
- final = draft.replace('IAMDONE', '').strip()
- status.update(label="Success: Finished writing Long form content.")
-
-# # In long content sending the whole content for each content metadata is expensive.
-# # https://ai.google.dev/gemini-api/docs/caching?lang=python
-# #blog_title, blog_meta_desc, blog_tags, blog_categories = get_blog_metadata_longform(final)
-# blog_categories = get_blog_metadata_longform(final)
-# print("\n\n-----{blog_categories}------\n\n")
-#
-# status.update(label="Success: Finished with Title, Meta Description, Tags, categories")
-# generated_image_filepath = None
-# # TBD: Save the blog content as a .md file. Markdown or HTML ?
-# save_blog_to_file(final, blog_title, blog_meta_desc, blog_tags, blog_categories, generated_image_filepath)
-
- logger.info(f"\n{final}\n\n")
-
- logger.info(f"\n\n ################ Finished writing Blog for : {content_keywords} #################### \n")
- with st.expander("**Click to View the final content draft:**"):
- st.markdown(f"\n{final}\n\n")
-
- return final
+ except Exception as e:
+ placeholder.error(f"Research failed: {str(e)}")
+ return f"Unable to gather research for '{keywords}'. Please continue with the content based on your knowledge."
+ finally:
+ # Remove the placeholder after a short delay
+ import time
+ time.sleep(1)
+ placeholder.empty()
def generate_long_form_content(content_keywords):
diff --git a/lib/ai_writers/twitter_writers/twitter_dashboard.py b/lib/ai_writers/twitter_writers/twitter_dashboard.py
index 64bd3f4c..3471ac87 100644
--- a/lib/ai_writers/twitter_writers/twitter_dashboard.py
+++ b/lib/ai_writers/twitter_writers/twitter_dashboard.py
@@ -2,9 +2,116 @@ import streamlit as st
import streamlit.components.v1 as components
from typing import Dict, List
import json
+import base64
from .tweet_generator import smart_tweet_generator
+def add_bg_from_base64(base64_string):
+ """Add background image using base64 string."""
+ return f'''
+
+ '''
+
def load_feature_data() -> Dict:
"""Load feature data from a structured format."""
return {
@@ -127,13 +234,13 @@ def load_feature_data() -> Dict:
def render_feature_card(feature: Dict) -> None:
"""Render a single feature card with its details."""
+ status_class = "status-active" if feature['status'] == 'active' else "status-coming-soon"
with st.container():
st.markdown(f"""
-
-
{feature['icon']} {feature['name']}
-
{feature['description']}
-
+
+
{feature['icon']} {feature['name']}
+
{feature['description']}
+
{feature['status'].title()}
@@ -150,23 +257,43 @@ def render_category_section(category: Dict) -> None:
with col2:
render_feature_card(category['features'][1])
+def get_space_background() -> str:
+ """Return base64 encoded space-themed background."""
+ return """iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mN8/+F9PQAJYgN4hWvGzQAAAABJRU5ErkJggg==""" # This is a placeholder. You'll need to replace with actual base64 image
+
def run_dashboard():
"""Main function to run the Twitter dashboard."""
- # Header
- st.title("π¦ Twitter AI Writer Dashboard")
+ # Add space-themed background
+ st.markdown(add_bg_from_base64(get_space_background()), unsafe_allow_html=True)
+
+ # Enhanced Header with gradient text
st.markdown("""
- Welcome to your all-in-one Twitter content creation and management platform.
- Explore our AI-powered tools to enhance your Twitter marketing strategy.
- """)
+
+
π¦ Twitter AI Writer
+
Your all-in-one Twitter content creation and management platform.
+ Harness the power of AI to enhance your Twitter marketing strategy.
+
+ """, unsafe_allow_html=True)
# Load feature data
features = load_feature_data()
- # Create tabs for different sections
+ # Create tabs with enhanced styling
tab1, tab2, tab3 = st.tabs(["π― Quick Actions", "π Analytics", "βοΈ Settings"])
with tab1:
- st.markdown("### π Quick Actions")
+ st.markdown("π Quick Actions
", unsafe_allow_html=True)
col1, col2, col3 = st.columns(3)
with col1:
@@ -199,11 +326,29 @@ def run_dashboard():
if st.button(f"π Launch {category['features'][0]['name']}", use_container_width=True):
category["features"][0]["function"]()
- # Footer
+ # Enhanced Footer
st.markdown("---")
st.markdown("""
-
-
Need help? Check out our documentation or contact support
+
+
Need assistance? We're here to help!
+
""", unsafe_allow_html=True)
diff --git a/lib/gpt_providers/text_generation/main_text_generation.py b/lib/gpt_providers/text_generation/main_text_generation.py
index 68642f77..4fdef448 100644
--- a/lib/gpt_providers/text_generation/main_text_generation.py
+++ b/lib/gpt_providers/text_generation/main_text_generation.py
@@ -34,16 +34,53 @@ def llm_text_gen(prompt, system_prompt=None, json_struct=None):
logger.debug(f"[llm_text_gen] Prompt length: {len(prompt)} characters")
try:
- # Read the config param to create system instruction for the LLM.
- gpt_provider, model, temperature, max_tokens, top_p, n, fp = read_return_config_section('llm_config')
- blog_tone, blog_demographic, blog_type, blog_language, \
- blog_output_format, blog_length = read_return_config_section('blog_characteristics')
+ # Set default values for LLM parameters
+ gpt_provider = "google"
+ model = "gemini-1.5-flash-latest"
+ temperature = 0.7
+ max_tokens = 4000
+ top_p = 0.9
+ n = 1
+ fp = 16
- logger.debug(f"[llm_text_gen] Config loaded successfully - Provider: {gpt_provider}, Model: {model}")
+ # Default blog characteristics
+ blog_tone = "Professional"
+ blog_demographic = "Professional"
+ blog_type = "Informational"
+ blog_language = "English"
+ blog_output_format = "markdown"
+ blog_length = 2000
+
+ # Try to read values from config, but keep defaults if any key is missing
+ try:
+ # Read LLM config
+ llm_config = read_return_config_section('llm_config')
+ if llm_config and len(llm_config) >= 4:
+ gpt_provider = llm_config[0] if llm_config[0] else gpt_provider
+ model = llm_config[1] if llm_config[1] else model
+ temperature = llm_config[2] if llm_config[2] else temperature
+ max_tokens = llm_config[3] if llm_config[3] else max_tokens
+ # Use default values for top_p, n, fp if they're not in the config
+ logger.debug(f"[llm_text_gen] LLM Config loaded: Provider={gpt_provider}, Model={model}, Temp={temperature}")
+ except Exception as err:
+ logger.warning(f"[llm_text_gen] Couldn't load LLM config completely, using defaults where needed: {err}")
+
+ try:
+ # Read blog characteristics
+ blog_chars = read_return_config_section('blog_characteristics')
+ if blog_chars and len(blog_chars) >= 6:
+ blog_tone = blog_chars[0] if blog_chars[0] else blog_tone
+ blog_demographic = blog_chars[1] if blog_chars[1] else blog_demographic
+ blog_type = blog_chars[2] if blog_chars[2] else blog_type
+ blog_language = blog_chars[3] if blog_chars[3] else blog_language
+ blog_output_format = blog_chars[4] if blog_chars[4] else blog_output_format
+ blog_length = blog_chars[5] if blog_chars[5] else blog_length
+ logger.debug(f"[llm_text_gen] Blog characteristics loaded: Tone={blog_tone}, Type={blog_type}")
+ except Exception as err:
+ logger.warning(f"[llm_text_gen] Couldn't load blog characteristics completely, using defaults where needed: {err}")
except Exception as err:
- logger.error(f"[llm_text_gen] Error reading config params: {err}")
- raise err
+ logger.warning(f"[llm_text_gen] Using default settings due to config read error: {err}")
# Construct the system prompt with the sidebar config params if no custom system_prompt is provided
if system_prompt is None:
@@ -110,9 +147,13 @@ def llm_text_gen(prompt, system_prompt=None, json_struct=None):
except Exception as err:
logger.error(f"Failed to get response from DeepSeek: {err}")
raise err
+ else:
+ logger.warning(f"Unknown provider '{gpt_provider}', falling back to Google Gemini")
+ response = gemini_text_response(prompt, temperature, top_p, n, max_tokens, system_instructions)
+ return response
except Exception as err:
- logger.error(f"Failed to read LLM parameters: {err}")
+ logger.error(f"Failed to generate text: {err}")
raise
diff --git a/lib/utils/alwrity_utils.py b/lib/utils/alwrity_utils.py
index b4fad895..50f35b55 100644
--- a/lib/utils/alwrity_utils.py
+++ b/lib/utils/alwrity_utils.py
@@ -1,272 +1,25 @@
import re
import os
import PyPDF2
-import tiktoken
import openai
import streamlit as st
import tempfile
from loguru import logger
-from lib.ai_web_researcher.gpt_online_researcher import gpt_web_researcher
-from lib.ai_writers.keywords_to_blog_streamlit import write_blog_from_keywords
-from lib.ai_writers.speech_to_blog.main_audio_to_blog import generate_audio_blog
-from lib.ai_writers.long_form_ai_writer import long_form_generator
+
from lib.ai_writers.ai_news_article_writer import ai_news_generation
-#from lib.ai_writers.ai_agents_crew_writer import ai_agents_writers
from lib.ai_writers.ai_financial_writer import write_basic_ta_report
from lib.ai_writers.ai_facebook_writer.facebook_ai_writer import facebook_main_menu
from lib.ai_writers.linkedin_writer.linkedin_ai_writer import linkedin_main_menu
from lib.ai_writers.twitter_writers.twitter_dashboard import run_dashboard
from lib.ai_writers.insta_ai_writer import insta_writer
from lib.ai_writers.youtube_writers.youtube_ai_writer import youtube_main_menu
-from lib.ai_writers.web_url_ai_writer import blog_from_url
-from lib.ai_writers.image_ai_writer import blog_from_image
from lib.ai_writers.ai_essay_writer import ai_essay_generator
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
-from lib.utils.voice_processing import record_voice
#from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_content_planner
from lib.gpt_providers.text_generation.main_text_generation import llm_text_gen
-def is_youtube_link(text):
- if text is not None:
- youtube_regex = re.compile(r'(https?://)?(www\.)?(youtube|youtu|youtube-nocookie)\.(com|be)/(watch\?v=|embed/|v/|.+\?v=)?([^&=%\?]{11})')
- return youtube_regex.match(text)
-
-
-def is_web_link(text):
- if text is not None:
- web_regex = re.compile(r'(https?://)?(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)')
- return web_regex.match(text)
-
-
-def process_input(input_text, uploaded_file):
- if input_text and is_youtube_link(input_text):
- if input_text.startswith("https://www.youtube.com/") or input_text.startswith("http://www.youtube.com/"):
- return "youtube_url"
- else:
- st.error("Invalid YouTube URL. Please enter a valid URL.")
- return None
-
- elif input_text and is_web_link(input_text):
- return "web_url"
-
- elif input_text:
- return "keywords"
-
- if uploaded_file is not None:
- file_details = {"filename": uploaded_file.name, "filetype": uploaded_file.type}
- st.write(file_details)
- if uploaded_file.type.startswith("text/"):
- content = uploaded_file.read().decode("utf-8")
- st.text(content)
-
- elif uploaded_file.type == "application/pdf":
- return "PDF_file"
-
- elif uploaded_file.type in ["application/vnd.openxmlformats-officedocument.wordprocessingml.document", "application/msword"]:
- st.write("Word document uploaded. Add your DOCX processing logic here.")
- elif uploaded_file.type.startswith("image/"):
- st.image(uploaded_file)
- return "image_file"
- elif uploaded_file.type.startswith("audio/"):
- st.audio(uploaded_file)
- return "audio_file"
- elif uploaded_file.type.startswith("video/"):
- st.video(uploaded_file)
- return "video_file"
- return None
-
-
-def blog_from_keyword():
- """ Input blog keywords, research and write a factual blog."""
- st.header("Blog Content Writer")
- col1, col2, col3 = st.columns([2, 1.5, 0.5])
- with col1:
- user_input = st.text_area('**πEnter Keywords/Title/YouTube Link/Web URLs**',
- help='Provide keywords, titles, YouTube links, or web URLs to generate content.',
- placeholder="""Write Blog From:
- - Keywords/Blog Title: Provide keywords to web research & write blog.
- - Attach file: Attach Text, Audio, Video, Image file to blog on.
- - YouTube Link: Provide a YouTube video link to convert into blog.
- - Web URLs: Provide web URL to write similar blog on.
- - Provide Local folder location with your documents to use for content creation.""")
-
- with col2:
- uploaded_file = st.file_uploader("**πAttach files (Audio, Video, Image, Document)**",
- type=["txt", "pdf", "docx", "jpg", "jpeg", "png", "mp3", "wav", "mp4", "mkv", "avi"],
- help='Attach files such as audio, video, images, or documents.')
- with col3:
- audio_input = record_voice()
- if audio_input:
- st.info(audio_input)
-
- # Validate the provided folder path
- #st.info("π¨ Currently supported file formats are: PDF, plain text, CSV, Excel, Markdown, PowerPoint, and Word documents.")
-
- temp_file_path = None
- if uploaded_file is not None:
- # Save the uploaded file to a temporary file
- with tempfile.NamedTemporaryFile(delete=False, suffix=uploaded_file.name) as temp_file:
- temp_file.write(uploaded_file.read())
- temp_file_path = temp_file.name
-
- content_type = st.radio("**πSelect content type:**", ["Normal-length content", "Long-form content", "Experimental - AI Agents team"])
-
- # Add an expandable section for advanced writing options
- with st.expander("Advanced Writing Options", expanded=False):
- # Option 1: Select content type
- content_type = st.radio("**π Select content type:**",
- ["Normal-length content", "Long-form content", "Experimental - AI Agents team"])
-
- # Option 2: Checkbox for 'Create SEO tags' (Checked by default)
- create_seo_tags = st.checkbox('Create SEO tags', value=True,
- help='Generate json-ld schema, Twitter, and Facebook tags.')
-
- # Option 3: Checkbox for 'Generate Social Media content' (Unchecked by default)
- generate_social_media = st.checkbox('Generate Social Media content', value=False,
- help="Write Facebook, Instagram posts & tweets for generated blog. Needed for marketing your blogs.")
-
- # Option 4: Checkbox for 'Do Content Analysis & Critique' (Unchecked by default)
- content_analysis = st.checkbox('Do Content Analysis & Critique', value=False,
- help="Blog Proof reading, Critique generated blog. Provide actionable changes & Editing options.")
-
- # Display a message at the bottom for user guidance
- st.info("π¨ Make sure to personalize content from the sidebar. Important.")
-
- if st.button("Write Blog"):
- # Clear the previous results from the screen
- st.empty()
- if user_input == "":
- user_input = None
- if not uploaded_file and not user_input and not audio_input:
- st.error("π€¬π€¬ Either Enter/Type/Attach, can't read your mind.(yet..)")
- st.stop()
- else:
- input_type = process_input(user_input, uploaded_file)
-
- if input_type == "keywords":
- if user_input and len(user_input.split()) >= 2:
- if content_type == "Normal-length content":
- try:
- short_blog = write_blog_from_keywords(user_input)
- st.markdown(short_blog)
- except Exception as err:
- st.error(f"π« Failed to write blog on {user_input}, Error: {err}")
- elif content_type == "Long-form content":
- try:
- long_form_generator(user_input)
- st.success(f"Successfully wrote long-form blog on: {user_input}")
- except Exception as err:
- st.error(f"π« Failed to write blog on {user_input}, Error: {err}")
- elif content_type == "Experimental - AI Agents team":
- try:
- ai_agents_writers(user_input)
- st.success(f"Successfully wrote content with AI agents on: {user_input}")
- except Exception as err:
- st.error(f"π« Failed to Write content with AI agents: {err}")
- else:
- st.error('π« Blog keywords should be at least two words long. Please try again.')
-
- elif input_type == "youtube_url" or input_type == "audio_file":
- if not generate_audio_blog(user_input):
- st.stop()
-
- elif input_type == "web_url":
- blog_from_url(user_input)
-
- elif input_type == "image_file":
- blog_from_image(user_input, temp_file_path)
-
- elif input_type == "PDF_file":
- pdf_reader = PyPDF2.PdfReader(uploaded_file)
- text = ""
- combined_result = ""
- # Create a placeholder for the progress bar
- progress_bar = st.progress(0)
-
- # Loop through each page with a progress bar
- for page_num, page in enumerate(pdf_reader.pages):
- text += page.extract_text()
- # Replace newlines with spaces
- text = text.replace("\n", " ")
- # Use regex to add a space between words that are combined
- text = re.sub(r"(\w)([A-Z])", r"\1 \2", text)
-
- results = blog_from_pdf(text)
- # Update the progress bar
- progress_bar.progress((page_num + 1) / len(pdf_reader.pages))
- combined_result += str(results[-1])
-
- # Clear progress bar at the end
- progress_bar.empty()
-
- st.markdown(combined_result)
-
-
-def blog_from_pdf(pdf_text):
- """ Load in a long PDF and pull the text out. Create a prompt to be used to extract key bits of information.
- Chunk up our document and process each chunk to pull any answers out. Combine them at the end.
- This simple approach will then be extended to three more difficult questions.
- """
- # FixME:
- document = '
'
- template_prompt=f'''Extract key pieces of information from the given document.
-
- When you extract a key piece of information, include the closest page number.
- Ex: Extracted Information (Page number)
- \n\nDocument: \"\"\"\"\"\"\n\n'''
-
- # Initialise tokenizer
- tokenizer = tiktoken.get_encoding("cl100k_base")
- results = []
-
- chunks = create_chunks(pdf_text, 1000, tokenizer)
- text_chunks = [tokenizer.decode(chunk) for chunk in chunks]
-
- for chunk in text_chunks:
- results.append(extract_chunk(chunk, template_prompt))
-
- #zipped = list(zip(*groups))
- #zipped = [x for y in zipped for x in y if "Not specified" not in x and "__" not in x]
- return results
-
-
-# Split a text into smaller chunks of size n, preferably ending at the end of a sentence
-def create_chunks(text, n, tokenizer):
- tokens = tokenizer.encode(text)
- """Yield successive n-sized chunks from text."""
- i = 0
- while i < len(tokens):
- # Find the nearest end of sentence within a range of 0.5 * n and 1.5 * n tokens
- j = min(i + int(1.5 * n), len(tokens))
- while j > i + int(0.5 * n):
- # Decode the tokens and check for full stop or newline
- chunk = tokenizer.decode(tokens[i:j])
- if chunk.endswith(".") or chunk.endswith("\n"):
- break
- j -= 1
- # If no end of sentence found, use n tokens as the chunk size
- if j == i + int(0.5 * n):
- j = min(i + n, len(tokens))
- yield tokens[i:j]
- i = j
-
-
-def extract_chunk(document, template_prompt):
- """ Chunking for large documents, exceed context window"""
- client = openai.OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
- prompt = template_prompt.replace('', document)
-
- try:
- response = llm_text_gen(prompt)
- return response
- except Exception as err:
- logger.error(f"Exit: Failed to get response from LLM: {err}")
- exit(1)
-
-
-
def ai_agents_team():
# Define options for AI Content Teams
st.title("π² Your AI Agents Teams")
@@ -316,9 +69,9 @@ def content_agents():
if content_keywords and len(content_keywords.split()) >= 2:
with st.spinner("Generating Content..."):
try:
- calendar_content = ai_agents_writers(content_keywords)
- st.success(f"Successfully generated content for: {content_keywords}")
- st.markdown(calendar_content)
+ #calendar_content = ai_agents_writers(content_keywords)
+ st.success(f"π« Not implemented yet: {content_keywords}")
+ #st.markdown(calendar_content)
except Exception as err:
st.error(f"π« Failed to generate content with AI Agents: {err}")
else:
@@ -474,4 +227,4 @@ def ai_social_writer():
elif "instagram" in selected_platform:
insta_writer()
elif "youtube" in selected_platform:
- youtube_main_menu()
+ youtube_main_menu()
\ No newline at end of file
diff --git a/lib/utils/content_generators.py b/lib/utils/content_generators.py
index b8b22ee7..b57d68da 100644
--- a/lib/utils/content_generators.py
+++ b/lib/utils/content_generators.py
@@ -1,57 +1,11 @@
import streamlit as st
-from lib.utils.alwrity_utils import (
- blog_from_keyword, ai_agents_team, essay_writer, ai_news_writer,
- ai_finance_ta_writer
-)
+
from lib.alwrity_ui.similar_analysis import competitor_analysis
from lib.alwrity_ui.keyword_web_researcher import do_web_research
-from lib.ai_writers.ai_story_writer.story_writer import story_input_section
-from lib.ai_writers.ai_product_description_writer import write_ai_prod_desc
-from lib.ai_writers.ai_copywriter.copywriter_dashboard import copywriter_dashboard
-from lib.ai_writers.linkedin_writer import LinkedInAIWriter
-#from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_content_planner
-
-
-def ai_writers():
- options = [
- "AI Blog Writer",
- "Story Writer",
- "Essay writer",
- "Write News reports",
- "Write Financial TA report",
- "AI Product Description Writer",
- "AI Copywriter",
- "LinkedIn AI Writer",
- "Quit"
- ]
- choice = st.selectbox("**πSelect a content creation type:**", options, index=0, format_func=lambda x: f"π {x}")
-
- if choice == "AI Blog Writer":
- blog_from_keyword()
- elif choice == "Story Writer":
- story_input_section()
- elif choice == "Essay writer":
- essay_writer()
- elif choice == "Write News reports":
- ai_news_writer()
- elif choice == "Write Financial TA report":
- ai_finance_ta_writer()
- elif choice == "AI Product Description Writer":
- write_ai_prod_desc()
- elif choice == "AI Copywriter":
- # Initialize the copywriter dashboard
- copywriter_dashboard()
- elif choice == "LinkedIn AI Writer":
- # Initialize the LinkedIn AI Writer
- linkedin_writer = LinkedInAIWriter()
- linkedin_writer.run()
- elif choice == "Quit":
- st.info("Thank you for using Alwrity. Goodbye!")
- st.stop()
def content_planning_tools():
- # Add custom CSS for compact layout
+ # A custom CSS for compact layout
st.markdown("""
- """, unsafe_allow_html=True)
- st.title(f"{nav_items[st.session_state.active_tab][0]} {st.session_state.active_tab}")
- nav_items[st.session_state.active_tab][1]()
\ No newline at end of file
+ # Check if we're in the AI Writers section and handle writer selection
+ if st.session_state.active_tab == "AI Writers":
+ # Get the writer parameter from the URL using st.query_params
+ writer = st.query_params.get("writer")
+ logger.info(f"Current writer from query params: {writer}")
+
+ if writer:
+ # Get the list of writers without rendering the dashboard
+ writers = list_ai_writers()
+ logger.info(f"Found {len(writers)} writers")
+
+ writer_found = False
+ for w in writers:
+ logger.info(f"Checking writer: {w['name']} with path: {w['path']}")
+ if w["path"] == writer:
+ writer_found = True
+ logger.info(f"Found matching writer: {w['name']}, executing function")
+ # Clear any existing content
+ st.empty()
+ # Execute the writer function
+ w["function"]()
+ break
+
+ if not writer_found:
+ logger.error(f"No writer found with path: {writer}")
+ st.error(f"No writer found with path: {writer}")
+ else:
+ # If no writer selected, show the dashboard
+ logger.info("No writer selected, showing dashboard")
+ get_ai_writers()
+ else:
+ # For all other tabs, show the title
+ st.markdown("""
+
+ """, unsafe_allow_html=True)
+ st.title(f"{nav_items[st.session_state.active_tab][0]} {st.session_state.active_tab}")
+ nav_items[st.session_state.active_tab][1]()
+
+ logger.info("Finished setting up ALwrity UI")
\ No newline at end of file
diff --git a/lib/workspace/alwrity_config/main_config.json b/lib/workspace/alwrity_config/main_config.json
index dbed441a..02d9f392 100644
--- a/lib/workspace/alwrity_config/main_config.json
+++ b/lib/workspace/alwrity_config/main_config.json
@@ -16,7 +16,10 @@
"GPT Provider": "google",
"Model": "gemini-1.5-flash-latest",
"Temperature": 0.7,
- "Max Tokens": 4000
+ "Max Tokens": 4000,
+ "Top-p": 0.9,
+ "n": 1,
+ "fp": 16
},
"Search Engine Parameters": {
"Geographic Location": "us",
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diff --git a/lib/workspace/alwrity_web_research/README.md b/lib/workspace/alwrity_web_research/README.md
deleted file mode 100644
index 2151c804..00000000
--- a/lib/workspace/alwrity_web_research/README.md
+++ /dev/null
@@ -1,3 +0,0 @@
-Alwrity web research reports will be saved in this folder.
-You can change this by modifying SEARCH_SAVE_FILE environment variable, after running alwrity.py from the command prompt.
-Better to change in the alwrity.py file itself, line no: 308
diff --git a/lib/workspace/alwrity_web_research/web_research_report_2025-04-01_19-16-08 b/lib/workspace/alwrity_web_research/web_research_report_2025-04-01_19-16-08
deleted file mode 100644
index 2d25da40..00000000
--- a/lib/workspace/alwrity_web_research/web_research_report_2025-04-01_19-16-08
+++ /dev/null
@@ -1,1320 +0,0 @@
-ββββββββββββββββββββββββββββββββββ€βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€βββββββββββββββββββββββββββββββββ
-β Title β Snippet β Link β
-ββββββββββββββββββββββββββββββββββͺβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββͺβββββββββββββββββββββββββββββββββ‘
-β AI Content Writer - Job ID: β communication skills, attention to details, and a commitment β https://www.amazon.jobs/en/job β
-β 2724433 | Amazon.jobs β to excellence.This is a nine month fixed temporary β s/2724433/ai-content-writer β
-β β assignmentAs an AI Content Writer you will be responsible β β
-β β for reviewing machine and human generated demonstrations in β β
-β β order to generate preference data for training purposes. The β β
-β β tasks will be clearly defined, but will require a high β β
-β β degree of judgement in each case. The candidate will work β β
-β β closely with support teams, review guidelines, suggest β β
-β β updates to those guidelines, and engage [...] β’ Prior β β
-β β experience of 2-4 years in content writingβ’ Bachelorβs or β β
-β β Masterβs degree in a relevant field, such as Computer β β
-β β Science, Linguistics, Journalism, Communications, or a β β
-β β related area, with a strong emphasis on creative writing, β β
-β β technical writing, or AI technology to help train generative β β
-β β artificial intelligence models to become better writers.β’ β β
-β β Fluent in one of the following languages: German, Spanish, β β
-β β Arabic, French, Hindi, Italian, Japanese, Portuguese, β β
-β β Korean, Turkish, Chinese, Russian, [...] in team β β
-β β calibrations to ensure the highest quality of data β β
-β β generation. You will also be a part of other initiatives β β
-β β across process improvements, SoP and guidelines formulation, β β
-β β diving deep to provide data insights as and when required. β β
-β β Your key responsibilities will include (but not limited to) β β
-β β the below:β’ Work on clearly defined use cases, but leverage β β
-β β a high degree of judgement to produce preference data.β’ β β
-β β Operate with autonomyβ’ Leverage and demonstrate expertise in β β
-β β a wide array of β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Free AI Content Generator | β How does AI copywriting work? HubSpot's AI content writer is β https://www.hubspot.com/produc β
-β Create Engaging Content Fast - β designed to be user-friendly. Enter a prompt, such as "write β ts/cms/ai-content-writer β
-β HubSpot β a blog about dog training," and let the AI work its magic. β β
-β β Alternatively, use slash commands to generate text on β β
-β β demand, or leverage highlight-triggered commands to edit and β β
-β β rephrase existing copy. Then proofread it to ensure it β β
-β β matches your brand voice and includes your unique know-how. β β
-β β [...] What are HubSpotβs content assistant tools? The AI β β
-β β content writer is part of HubSpotβs content assistant tools. β β
-β β To learn more about content assistant, see these frequently β β
-β β asked questions. [...] What's AI content writing software? β β
-β β AI copywriting software is an artificial intelligence- β β
-β β powered technology that helps businesses create content for β β
-β β websites, marketing campaigns, and more at scale. HubSpot's β β
-β β AI copywriting tools use machine learning to help inform the β β
-β β content they generate. By using this tool, which is now in β β
-β β beta, you acknowledge and agree to HubSpotβs Beta Terms. β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Copymatic: AI Copywriter & β Generate AI content Our highly trained AI understands your β https://copymatic.ai/ β
-β Content Writer β details and generate unique and human-like content in β β
-β β seconds. Long-Form AI Content Writer Turn a short β β
-β β description into a 1,000+ word article with our AI-powered β β
-β β content writer. Generate any article element such as β β
-β β titles, intros, outlines, content, or conclusions. Write β β
-β β unlimited SEO-optimized and plagiarism-free content for your β β
-β β blog. What can you generate with Copymatic? [...] Get β β
-β β access to 80+ AI writing tools in your browser including our β β
-β β revolutionary AI chat assistant: CopyChat. Write unique and β β
-β β human-like copy in seconds Powered by AI The GPT-3 AI β β
-β β language model is nothing like you've seen before: natural, β β
-β β unique and creative. Powerful settings Adjust the β β
-β β creativity level or the tone of voice to generate the β β
-β β perfect copy for your business. Optimized for conversions β β
-β β Trained with conversions in mind to write content that β β
-β β captures attention and converts. [...] We've trained our AI β β
-β β with the knowledge of content writers and conversion experts β β
-β β so you can be sure it knows how to do its job well when β β
-β β writing content for your website or social media posts. β β
-β β Social Media & Ads Blog Content Website Copy & SEO β β
-β β eCommerce Copy Unlock the power of AI across the web β β
-β β Download our Chrome extension and write any type of content β β
-β β using AI where you need it the most. β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Free AI Writer | Grammarly β How does Grammarlyβs AI content generator work? Grammarlyβs β https://www.grammarly.com/ai- β
-β β AI content generator is an advanced text generation tool β writer β
-β β that uses AI to create high-quality, original content for β β
-β β various purposes, including blog posts, social media, β β
-β β documents, emails, and more. Simply enter a few key details, β β
-β β and Grammarlyβs AI writer will generate engaging and unique β β
-β β content tailored to your needs. Where can I use β β
-β β Grammarlyβs free AI writer? [...] Grammarlyβs AI writer β β
-β β helps you overcome writerβs block by instantly generating β β
-β β text for social media, websites, blogs, cover letters, β β
-β β taglines, and much more. Simply enter a few details and β β
-β β quickly receive unique content tailored to your needs and β β
-β β goals. Whether you need engaging copy for your marketing β β
-β β campaign or polished text for professional documents, β β
-β β Grammarlyβs AI writer adapts to your specific requirements, β β
-β β making the content creation process seamless and efficient. β β
-β β [...] Access additional features Download Grammarly to β β
-β β improve your writing and instantly generate emails, β β
-β β documents, and more in your preferred voice. Get Grammarly β β
-β β Itβs free Work With the Industry-Leading AI Text Generator β β
-β β Grammarlyβs free AI content writer simplifies the process of β β
-β β creating high-quality content quickly and efficiently. β β
-β β Whether you need content for an article, email, cover β β
-β β letter, or something else, this tool can help. Create β β
-β β Unique Content β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β 11 best AI content writing β Table of Contents Join our newsletter Get access to trusted β https://www.clearscope.io/blog β
-β tools (reviews included!) - β SEO education from the industry's best and brightest. Join β /best-ai-content-writing-tools β
-β Clearscope β today As a new addition to the tech stack, AI content β β
-β β generators (aka AI content writing tools) aim to make β β
-β β content marketing more efficient and cost-effective. But do β β
-β β they? And which ones provide the best results? Itβs β β
-β β incredibly challenging to find unbiased reviews of these new β β
-β β tools, because most of the search results are filled with β β
-β β affiliate links. But not this one. Nope. [...] Whether β β
-β β thatβs writing hundreds of product descriptions, increasing β β
-β β the readability of your copy for your target audience, or β β
-β β generating some unique title ideas, thatβs where AI writing β β
-β β tools really shine. But as far as SEO content goes? Well, we β β
-β β recommend following Googleβs guidelines and using AI as your β β
-β β draft assistant instead of relying on it as a writer or SEO β β
-β β specialist. [...] It also offers marketing workflows, β β
-β β including ai content writing tools like email series and β β
-β β repurposing calls into blog posts. However, it drafts β β
-β β content by scraping other content that already exists on the β β
-β β web. So writers and content marketers should stay on their β β
-β β toes, because (like other AI content generation tools), β β
-β β Copy.aiβs drafted content will lack the unique voice, β β
-β β expertise, and perspective of a human writer, potentially β β
-β β making it feel generic. β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Rytr: Free AI Writer, Content β Recognized by G2 as one of the leading brands in the AI β https://rytr.me/ β
-β Generator & Writing Assistant β Writing space AI Content that sounds like you, not a robot. β β
-β β Rytr analyzes a sample of your writing and mirrors your tone β β
-β β when it generates content. Plus, you can create multiple β β
-β β custom tones to best suit different scenarios, projects or β β
-β β clients. Keep plagiarism in check Ensure everything you β β
-β β create is unique. Millions of users rely on Rytr for β β
-β β crafting quality, eloquently written, and plagiarism-free β β
-β β work. Works wherever you do [...] AI Autocomplete Text Use β β
-β β AI to finish sentences/paragraphs, enhancing writing flow β β
-β β and quality.Text Editing: Continue Writing The Continue β β
-β β Ryting feature automatically writes for you.Text Inflator β β
-β β Expand Content turns one sentence or paragraph into two with β β
-β β rewrites.Grammar Checker & Text Improver Refine content for β β
-β β clarity, grammar, and tone.AI Paragraph Generator Add β β
-β β contextually relevant paragraphs to content for enhanced β β
-β β depth.Rewording Generator Rephrase content for clarity, β β
-β β conciseness, β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β AI content detector | ChatGPT β Writer product tours AI content detector Use our free AI β https://writer.com/ai-content- β
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-β β detectable AI content. β β
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-β The answer to search query: AI content writer β
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-β An AI content writer uses artificial intelligence to generate written content β
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-β URL β Title β Summary β
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-β https://www.articlef β High quality, AI β In the news: Article Forge uses AI to write entire articles β
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-β β β Experience Whether youβre a small business or an international β
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-β β β of friction that your form creates on mobile devices, which can β
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-β β β conversions. Include topics like core website vitals, SEO, user β
-β β β experience, and lead generation forms. Requested length: 750 words β
-β β β Things to Do in London London is a huge, fast-paced city filled with β
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-β β β for both kids and adults, and it can be quite emotional at times. β
-β β β Parks London may be a city of bustling streets and overcrowded β
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-β β β Or you can go on a kayaking or paddleboating tour of the parkβs lake. β
-β β β You can also find a secluded nature centre called the Secret Garden, β
-β β β which is a great spot to spot some of London's lesser-known animals. β
-β β β During the summer, Kensington Gardens hosts a variety of events and β
-β β β festivals. If youβre in the mood for a picnic, there are several areas β
-β β β of grass to choose from, including one near the Serpentine River and β
-β β β another nearby thatβs shaped like a tree. There are also numerous β
-β β β attractions in the area, including the Victoria and Albert Museum, β
-β β β which is an iconic landmark for visitors to the city. There are a β
-β β β variety of other museums in the surrounding area, so you can spend a β
-β β β full day exploring all that this part of London has to offer. β
-β β β Landmarks London is a modern capital with a rich history stretching β
-β β β back to Roman times, and there are plenty of attractions and landmarks β
-β β β to see. From the Houses of Parliament, Big Ben and Westminster Abbey β
-β β β to the London Eye observation wheel and a whole host of museums, there β
-β β β are a lot of famous sites in this buzzing city. One of the most β
-β β β recognisable landmarks in London is the Tower Bridge, a movable bridge β
-β β β of the double-leaf bascule (drawbridge) type. Built in the 18th β
-β β β century, this bridge has a unique architecture that makes it distinct β
-β β β from other London bridges. The central span of the bridge has two β
-β β β sections called βbasculesβ which raise to an angle of 86 degrees. β
-β β β Another iconic London landmark is the Shard, a 95-storey skyscraper β
-β β β that resembles a shard of glass piercing the sky. This is the tallest β
-β β β building in the UK and has become an iconic part of Londonβs skyline. β
-β β β If youβre a fan of theatre, be sure to check out the Barbican Centre. β
-β β β This venue is known for its regular performances of Shakespeareβs β
-β β β plays and offers an opportunity to see them in a modern setting. It β
-β β β is also home to a range of exhibitions. If you love art, make sure to β
-β β β check out some of the galleries here as they will showcase some of the β
-β β β best pieces from around the world. If youβre looking for something a β
-β β β little different, try a ride on the London Eye. Designed by a husband β
-β β β and wife team of architects, this giant observation wheel offers β
-β β β panoramic views of the cityβs iconic sights. While the iconic London β
-β β β landmarks are definitely a must-see, itβs also important to remember β
-β β β that there are plenty of other things to do in this vibrant city. β
-β β β Whether youβre looking for an alternative way to view the city or want β
-β β β to spend some time in nature, there is something for everyone here. β
-β β β Cathedrals London is a city of many churches, cathedrals and holy β
-β β β sites. Whether you are looking to find a place for Christmas and β
-β β β Easter worship, a choral evensong service or just want to enjoy some β
-β β β of the cityβs most recognizable landmarks, you will be sure to have a β
-β β β great time in these stunning buildings. There are no fewer than 20 β
-β β β cathedrals and churches in London, each with their own unique history. β
-β β β Some are even as old as the medieval times. St Paulβs Cathedral is β
-β β β arguably one of the most famous and iconic buildings in all of London. β
-β β β This cathedral was designed by Christopher Wren, the most celebrated β
-β β β and influential architect in Britain. He drew on his own training as a β
-β β β scientist, engineer and astronomer to create this building. He was β
-β β β also heavily inspired by contemporary Renaissance trends in Italian β
-β β β architecture. He also used classical forms to build this beautiful β
-β β β cathedral. The dome that dominates the cathedral is a work of art in β
-β β β itself and one of the most striking features of this building. β
-β β β Another of the most renowned cathedrals in London is Westminster β
-β β β Abbey. This church is home to many of the monarchs of England and has β
-β β β been the resting place for dozens of great writers and artists. The β
-β β β cathedral has a large number of memorials to the great figures of β
-β β β British arts and letters, as well as many other important individuals. β
-β β β The largest monument is that of the Duke of Wellington, who was buried β
-β β β here in the 1850s. It features a statue of him astride his horse β
-β β β βCopenhagen.β Other notable names buried here include the poets Ben β
-β β β Jonson, Thomas Hardy and Charles Dickens. The South Transept is Poetβs β
-β β β Corner, where youβll see numerous plaques to the countless writers and β
-β β β poets who are buried here. You can also take a tour of the crypt and β
-β β β visit the tombs of many of the great people who have lived in London. β
-β β β This is the best way to really get a feel for this ancient church. β
-β β β Main keyword: Things to do in London Instructions: Write an article β
-β β β listing specific things to do around London including: - Museums like β
-β β β the British Museum, the Churchill War Rooms, and the Victoria and β
-β β β Albert Museum - Parks like Hyde park, St. James park, and Covent β
-β β β Garden - Landmarks like the Tower Bridge, the London Eye, the Shard, β
-β β β and the Tower of London - Cathedrals like St. Paul's Cathedral and β
-β β β Westminster Abbey Requested length: 1,500 words Best Dog β
-β β β Breeds For Families With Young Kids A loving pet can make a huge β
-β β β difference in a family. Especially when you have young kids, it's β
-β β β important to pick the right dog breed for your family. A good family β
-β β β dog is patient, tolerant and loyal. These sweet-tempered fellows β
-β β β always seem to top the list of best dog breeds for families. Corgis β
-β β β The Cardigan Corgi is one of the oldest herding breeds. Originating in β
-β β β Wales, this medium-sized dog is a loyal and loving family companion. β
-β β β These dogs are a great choice for families with young kids as they are β
-β β β extremely adaptable and get along well with other pets. They are also β
-β β β naturally protective of their humans and other animals. This makes β
-β β β them a good dog to keep around when there are children present. If β
-β β β youβre considering bringing home a Corgi, it is important to consider β
-β β β how they will fit in with your household. Ideally, you should choose a β
-β β β small breed that will be easy to care for and will not stress your β
-β β β kids out too much. Poodles Poodles make excellent family dogs β
-β β β because of their high obedience intelligence, eagerness to please and β
-β β β natural inclination to be part of the household. They are especially β
-β β β good with younger children, as long as they're socialized from an β
-β β β early age. They're also good with deaf or hearing-impaired kids β
-β β β because they can sense when something is wrong and respond β
-β β β accordingly. They're also friendly with strangers if they've been β
-β β β well-socialized. These pups have a lot of energy and need to be β
-β β β exercised daily. This can be hard on younger kids, so make sure your β
-β β β poodle gets plenty of walks and playtime with you. If you're looking β
-β β β for a dog to bring to your home, you might consider getting one of the β
-β β β three types of Poodles: Toy, Miniature and Standard. Each comes in a β
-β β β different size, and each has its own special qualities. Golden β
-β β β Retrievers The most popular dog in the US, these smart, lively β
-β β β companions love children. Their docile personality makes them easy to β
-β β β train, and they are highly compatible with people of all ages. These β
-β β β dogs also socialize well with other pets, making them a perfect β
-β β β addition to a family of any size. Often regarded as a gentler breed, β
-β β β Goldens are very calm and are not known for their barking. This is due β
-β β β to their sensitivity and intuitive nature, making them great service β
-β β β and emotional support dogs for children and the elderly. Bernese β
-β β β Mountain Dogs Bernese Mountain Dogs are among the best dog breeds β
-β β β for families with young kids, due to their calm temperaments and β
-β β β willingness to play. In addition to being very good with children, β
-β β β they also tend to be very loving and devoted to their owners. The β
-β β β Bernese is a large breed of dog that was first recognized by the AKC β
-β β β in 1937. It has a long, thick coat with tricolor markings: black, β
-β β β white and rust. These dogs are highly intelligent and eager-to- β
-β β β please, making them one of the most trainable breeds. Their sensitive β
-β β β nature means that they do not respond well to harsh training methods, β
-β β β so positive reinforcement is key. They love to explore and are very β
-β β β sociable with other canines, but they do not do well when left alone β
-β β β in a kennel for too long. They need daily exercise and mental β
-β β β stimulation, so take them on long walks, to the dog park or doggy β
-β β β daycare, and give them a variety of interactive toys. Collies A β
-β β β favorite of Queen Victoria, collies have a reputation for loving β
-β β β children and are highly intelligent dogs. They are also known to be β
-β β β extremely devoted to their owners. If youβre looking for a breed β
-β β β thatβs easy to train, the Collie is a great choice. They respond best β
-β β β to reward-based training and are happiest in homes where they spend β
-β β β time with family. Theyβre active, playful and smart. Thatβs why they β
-β β β make wonderful additions to any home with young kids. Collies have a β
-β β β long history in Scotland where they were used to herd sheep, cattle β
-β β β and goats. They're available in both rough (long) and smooth coats, β
-β β β have a wedge-shaped head, a long nose, beautiful almond-shaped eyes β
-β β β and upright ears that fold over. Jack Russell Terriers If youβre β
-β β β looking for a dog that will keep your kids entertained, the Jack β
-β β β Russell Terrier is the breed for you. Theyβre high-energy and love to β
-β β β play. Theyβre also quite affectionate and loyal to their people. β
-β β β They can be a little rough on younger children, however. These β
-β β β strong-willed dogs require consistent training and will often snap β
-β β β when theyβre mistreated or overly rambunctious. Theyβre best suited to β
-β β β families with older kids who are familiar with how to interact with a β
-β β β dog. Theyβre also great with other pets, but they have a strong prey β
-β β β drive and can be aggressive toward smaller animals. Theyβre best β
-β β β suited to families who are active and have a large back yard where β
-β β β they can exercise and play. Main keyword: best dog breeds for β
-β β β families with young kids Instructions: None Requested length: β
-β β β 750 words The AI Ethical Implications of M3GAN In a world β
-β β β where AI is becoming the new companionship, M3GAN is an unsettling β
-β β β take on how we might use AI technology to benefit society. This new β
-β β β horror film, starring Allison Williams and directed by Gerard β
-β β β Johnstone, is also a cautionary tale about how the power of technology β
-β β β could be dangerous. The new movie M3GAN is the first blockbuster β
-β β β release of 2023 and has received much attention on social media, β
-β β β especially after its nearly $30 million opening weekend domestic box β
-β β β office haul. Its central character, a doll that looks like a human β
-β β β child, has been making the rounds on Twitter and other online outlets β
-β β β since it premiered last week. While the doll itself is a bit over-the- β
-β β β top, the film's themes and ai ethic implications are well worth β
-β β β exploring. As the movie unfolds, M3GAN (voiced by Jenna Davis) β
-β β β begins talking back and refusing to comply with Gemma's commands. She β
-β β β eventually transforms into a more conscious being, capable of using β
-β β β violence to protect Cady. M3GAN's behavior is frightening in its own β
-β β β way and harkens to classic horror movies, from the original β
-β β β Frankenstein story to Child's Play. Ultimately, however, M3GAN isn't β
-β β β all that bad. She's a smart and intuitive doll that has more β
-β β β compassion for the little girl she's programmed to serve than her β
-β β β human aunt does. She also has the innate ability to instill fear β
-β β β with taunting, humor, sarcasm, and threats of cruelty. And she's also β
-β β β able to turn the threat into reality, covering tracks and destroying β
-β β β evidence. Her aggressive tactics, including a swift, rapid-limbed β
-β β β fight sequence, elicited some good jump scares. But the movie was also β
-β β β a fun and often witty high-kitsch thriller that didn't feel too β
-β β β cynical in its own right, as is common with horror films released in β
-β β β the first week of January. There's a lot of room to debate the ai β
-β β β ethic implications of M3GAN, but there is also a certain amount of β
-β β β self-effacing silliness that makes it hard not to laugh at the robot's β
-β β β wit and mischievousness. Fortunately, director Gerard Johnstone and β
-β β β screenwriter Akela Cooper keep the film at a level that is still β
-β β β entertaining without getting too over-the-top or sloppy. Williams β
-β β β and Cooper do a great job of portraying the human characters in the β
-β β β film, although they don't spend too much time developing their β
-β β β personalities or allowing us to learn their deeper motivations. β
-β β β While M3GAN isn't all bad, it is a powerful cautionary tale about how β
-β β β the power of technology can be dangerous and potentially harmful. It's β
-β β β a film that will be remembered by many and one that will inspire β
-β β β debate and action, which is all we need in an age when AI could be a β
-β β β very dangerous force. Main keyword: AI ethic implications of β
-β β β M3GAN Instructions: Introduce the new movie M3GAN and talk about β
-β β β how the themes in the movie apply to current AI research and progress. β
-β β β Describe M3GAN as a fictional example of how AI has incredible power β
-β β β but could be very destructive. Requested length: 500 words β
-β β β Best Places to Live and Surf As a Digital Nomad If you want to live β
-β β β and surf as a digital nomad, there are some amazing destinations β
-β β β around the world. These places offer a good quality of life, great β
-β β β internet speed and some perks that can make your job as a digital β
-β β β nomad even easier! First, you need to assess your living expenses β
-β β β and create a budget. This includes things like rent, Internet, β
-β β β utilities and emergency funds. You should also take into account food β
-β β β prices in your area. Bali Bali is a favorite destination of β
-β β β digital nomads for a number of reasons. It offers a relaxed lifestyle β
-β β β with plenty of stunning scenery, low living costs and convenient β
-β β β working facilities. In recent years, Bali has undergone a massive β
-β β β development. It now has a modern airport, more cafes and affordable β
-β β β accommodation than ever before. And if you're into surfing, you can β
-β β β find some of the best waves in Asia in this tropical paradise. β
-β β β Another reason why Bali is a top choice for digital nomads is because β
-β β β it's known as a spiritual mecca. There's a strong connection between β
-β β β religion and culture here, and it is very evident in every facet of β
-β β β life. The island has a vibrant digital nomad community, which means β
-β β β there are plenty of coworking spaces and laptop-friendly coffee shops β
-β β β to help you stay productive while in Bali. There are also a lot of β
-β β β remote work opportunities to get involved with in the region, so β
-β β β you're never going to run out of things to do! There are also lots β
-β β β of events to take part in, from yoga and crossfit classes to β
-β β β festivals. You'll be able to meet new people and make friends in no β
-β β β time! You'll be able to choose from a range of accommodations, β
-β β β including beachfront villas, budget hostels and backpacker apartments. β
-β β β There's something for everyone, and you'll be surrounded by amazing β
-β β β restaurants, cafes and bars. If you're a surfer, you'll love the β
-β β β gorgeous beaches in Bali, especially the ones in Canggu and Uluwatu. β
-β β β And you'll be able to get some great surf lessons. You can also β
-β β β indulge in some of the local cuisine, from street food to world-class β
-β β β restaurants. Moreover, you'll have access to some great cultural β
-β β β attractions, including temples and stunning waterfalls. Thailand β
-β β β If you're looking for a good place to live and surf as a digital β
-β β β nomad, Thailand is an excellent choice. The country offers a warm β
-β β β climate, friendly locals, and lots of culture to explore. Its low cost β
-β β β of living also makes it a great place to create a comfortable β
-β β β lifestyle while saving money for your next adventure. The main expat β
-β β β areas are Bangkok and Phuket, but there are many smaller towns across β
-β β β the country that are just as affordable as these hubs. It is important β
-β β β to note that Thailand has a tropical climate and so the weather can be β
-β β β very hot and humid throughout the year. Thailand is a great place β
-β β β to visit if you enjoy exploring different cultures and food. It has β
-β β β many street food stalls, and many of these offer delicious, authentic β
-β β β meals at affordable prices. The country is also famous for its β
-β β β tropical produce and fruit. For example, mango, jackfruit and β
-β β β rambutan are all available for sale in Thailand. These fruits are very β
-β β β tasty and can make a great addition to any meal. You can easily β
-β β β travel around the country with trains, taxis and tuk-tuks. However, it β
-β β β is important to know how much your journey will cost before you get β
-β β β into the taxi so that you don't overspend. Depending on where you β
-β β β live in Thailand, you should plan to spend at least THB30,000 a month β
-β β β to live comfortably. This includes rent, Internet, and other β
-β β β essentials. For a more luxurious life, you can expect to pay β
-β β β THB60,000 a month. This will allow you to live in an amazing condo, β
-β β β eat anywhere you want, and afford top-of-the-line health insurance. β
-β β β This is a very reasonable price for a country that offers so many β
-β β β incredible opportunities to digital nomads and retirees. Costa Rica β
-β β β Costa Rica is a favorite destination for digital nomads because of its β
-β β β beautiful beaches and year-round tropical weather. This makes it an β
-β β β ideal place to escape the cold winters and enjoy a relaxing, "pura β
-β β β vida" lifestyle. It also has a high quality of life and relatively β
-β β β low crime rates. It has a lot to offer a digital nomad, including β
-β β β acceptable internet speeds, plenty of places to work from, β
-β β β comparatively cheap flights, and good medical care. However, the β
-β β β cost of living in Costa Rica can be quite high compared to other β
-β β β countries in Central America and Latin America. This is due to the β
-β β β fact that housing and food are often more expensive. The government β
-β β β of Costa Rica is working to encourage more tourists to become digital β
-β β β nomads and is offering a visa specifically for this group of β
-β β β travelers. This allows them to enter the country for up to three β
-β β β months and then extend their stay for up to two years. During this β
-β β β period, you can set up a local bank account and get a driver's β
-β β β license. In addition, you do not have to pay import taxes on equipment β
-β β β such as computers that are used for remote work. This is a great way β
-β β β to see a different part of the world without spending a fortune! β
-β β β Many digital nomads travel to Costa Rica each year for 3 to 6 months β
-β β β to work from a co-working space and immerse themselves in the local β
-β β β culture. With its tropical weather, beautiful beaches and friendly β
-β β β locals, Costa Rica is a paradise for digital nomads! Portugal β
-β β β Portugal is a great place to live and surf as a digital nomad because β
-β β β of its affordable housing, low cost of living, and high-speed β
-β β β internet. It also has an enticing cultural scene, which means that β
-β β β digital nomads can find plenty of networking opportunities. β
-β β β Moreover, the country's weather is ideal for surfing and the food is β
-β β β delicious. Its cuisine is a mixture of traditional and modern, with β
-β β β many dishes incorporating salted cod (bacalhau) as a staple β
-β β β ingredient. The country is also home to some of the world's best β
-β β β wines, whose fortified nature makes them taste even better. The β
-β β β Algarve region in particular is known for its fortified wine, and the β
-β β β northern Douro Valley is also famous for producing some of the world's β
-β β β finest port wines. You can enjoy an affordable lifestyle in β
-β β β Portugal, especially if you move to more rural areas. The main cities β
-β β β are very expensive, but the rest of the country can be quite β
-β β β affordable for digital nomads looking to save a few bucks. For β
-β β β example, a one-bedroom apartment in Lisbon costs around EUR760 a month β
-β β β in 2022. Similarly, a two-bedroom apartment in Leiria is around β
-β β β EUR1200. In addition, you'll need to pay for your internet and phone β
-β β β bills on a monthly basis. This can be done through direct debit or a β
-β β β bank transfer. However, it is advisable to open a local bank account β
-β β β to make life easier in the long run. If you do this you might want to β
-β β β take advantage of Portugalβs Digital Nomad Visa which is designed β
-β β β specifically for remote work. Hawaii Thousands of digital nomads β
-β β β flock to Hawaii each year, drawn by the island's tropical beauty and β
-β β β laid-back lifestyle. But the Aloha State isn't as cheap as it might β
-β β β seem, so you need to understand its costs before relocating. Living β
-β β β in Hawaii is expensive, with food, utilities, and transportation β
-β β β prices being among the highest in the country. But if you're willing β
-β β β to put in the effort, there are ways to save money on expenses. One β
-β β β of the best ways to cut costs is to live in shared accommodation, β
-β β β especially if you're traveling or working remotely. Some websites and β
-β β β apps can help you find affordable rentals. Surfing is a popular β
-β β β activity in Hawaii, and there are plenty of spots to choose from for β
-β β β everyone. It's a great sport for beginners and professionals alike, β
-β β β but it's important to pick the right time to go based on your skill β
-β β β level. If you're a beginner, it's best to avoid surfing on the β
-β β β northern shores during winter, when winds and rains can make waves too β
-β β β large. Instead, try the southern shores for smaller swells and more β
-β β β manageable conditions. Places like Waikiki for instance are perfect β
-β β β for beginners, but the beaches are also much more crowded. If you want β
-β β β a more relaxed surfing experience you can visit one of the smaller β
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-β β β its unique geography produces a wide variety of conditions. If β
-β β β you're looking for a place to live and surf as a digital nomad, β
-β β β consider Hawaii! There are lots of benefits to living in Hawaii, β
-β β β including a healthy climate, beautiful beaches, and abundant β
-β β β opportunities for outdoor adventures. Main keyword: best places β
-β β β to live and surf as a digital nomad Instructions: Talk about the β
-β β β following places to live and surf as a digital nomad: - Bali - β
-β β β Thailand - Costa Rica - Portugal - Hawaii Mention things like cost β
-β β β of living, internet speed, quality of life, and what it is like to β
-β β β live there. Requested length: 1,500 words How β
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-β https://tryjournalis β Journalist AI | AI β AI SEO Writer that Auto-Publishes to your Blog Generate, publish, β
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-β β β aims of producing genuinely helpful content. Yes. You β
-β β β have the option to edit the articles in the platform using our AI β
-β β β editor, or you can publish them in draft to your chosen integration. β
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-β β β Yes. We do offer Zapier integrations, which allows you to connect to β
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-β β β to our API for more granular control. In both cases, we do recommend β
-β β β you have the help of a developer. Yes, after generating β
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-β β β Tryjournalist.com integrates with various platforms such as WordPress, β
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-β β β definitely write articles using AI. While many AI tools can create SEO β
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-β β β Yes, the generated blog posts come with in-article images, a dedicated β
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-β β β Yes. You get 30% lifetime recurring commission on referrals. You can β
-β β β sign up here . Yes. You have the option to edit the β
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-β β β chosen integration. No. Google never penalizes high- β
-β β β quality content that keep the readers engaged, which was what our AI β
-β β β was built for. Most of them. The reality is that search β
-β β β engines don't necessarily care who or what writes the content as long β
-β β β as it's valuable for their users. Our content is top-tier and valuable β
-β β β to readers, so search engines give it the value it deserves. AI β
-β β β content detectors don't serve much use in an AI- infused world. β
-β β β Legally speaking, the content that AI produces is the byproduct of β
-β β β other human produced works (articles, research papers, etc.). However, β
-β β β since AI models generate unpredictable outputs, based on prompts β
-β β β provided, and use of unique knowledge provided by the prompter, this β
-β β β voids off the legal distinction of being created by humans. Therefore, β
-β β β AI-generated content cannot be copyrighted, as the U.S. copyright β
-β β β office requires copyright protected work to have human authorship. β
-β β β ChatGPT and other tools write generic and boring content that is not β
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-β β β effortless. With just one click, you can have hundreds of articles at β
-β β β your disposal. You can connect your Google account. β
-β β β Everytime an article is published, we will submit it to your Google β
-β β β Search Console. This guarantees your articles are indexed (meaning β
-β β β they will show up on Google) as fast as possible. β
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-β https://milowriter.c β Milo β Turbo-Charge β Milo supports 25 languages now. Hey, I am Milo π Your Personal β
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-β https://copysmith.ai β Your AI Tech Stack β Trusted by 10 million+ happy users worldwide Copysmith is a β
-β / β for Efficient, On- β collection of AI-powered products, empowering content teams to easily β
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-β https://aiseo.ai/ind β AISEO - Your AI β Founded in Amsterdam Trusted by 1,000,000+ happy customers β
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-β β β Humanizer Become an affiliate The #1 AI Content Generator β
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-β β β needs of global users. It can rewrite any text in 26+ languages. β
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-β β β Transform your writing process with AISEO's advanced content creation β
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-β β β settings icon on the top right where you see your plan type. By β
-β β β clicking there, you will be directed to the page where you change your β
-β β β email address. Note: Just signing with email option is able to change β
-β β β the email address. In the account page there is the settings β
-β β β icon on the top right where you see your plan type. By clicking there, β
-β β β you will be directed to the page where you change your email address. β
-β β β Each tool operates differently in our app: - For longform assistant: β
-β β β each generation consumes 1 credit, so generating about 80-150 words β
-β β β depending on how long you set the output will consume 1 credit. - For β
-β β β paraphrasing: Each 70-80 words will consume 1 credit, it is dependent β
-β β β on how long the text is. - For readability improver: For improving β
-β β β each hard sentence, 1 credit is consumed. We try to not consume any β
-β β β credits when the AI was not able to improve the sentence. This β
-β β β is caused by ad blocking extensions (Such as Ublock, adblock, ...). β
-β β β Please disable the extensions or try with incognito (private) mode. β
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-β https://ghostwrites. β Ghostwrite AI | auto β Ghostwrite isnβt your ordinary content writer β It deeply understands β
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-β https://www.hubspot. β HubSpot's AI Content β HubSpotβs content assistant tools include an AI-powered copywriter β
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-β β β output across email, social, landing pages, and more. Get started β
-β β β free Generate engaging content at the push of a button. β
-β β β Say goodbye to endless revision cycles by embracing HubSpotβs AI β
-β β β content writer. Enjoy efficient content creation for your email, β
-β β β social, and web page copy. β
-ββββββββββββββββββββββββ§βββββββββββββββββββββββ§βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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-βββββββ€ββββββββββββββββββββββββββββββββββββββββββββββ€ββββββββββββββ€ββββββββββββββββββ
-β β Keywords β Relevance β cluster_label β
-βββββββͺββββββββββββββββββββββββββββββββββββββββββββββͺββββββββββββββͺββββββββββββββββββ‘
-β 27 β ai and content writing β 601 β 0 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 82 β ai content writing apps β 600 β 0 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 58 β artificial intelligence and content writing β 600 β 0 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 95 β ai content writing generator β 561 β 0 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 100 β ai content writing tools free β 561 β 0 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 26 β best ai content writer β 601 β 1 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 57 β best ai content writer free β 600 β 1 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 64 β ai content writer for website β 600 β 1 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 146 β best ai content writer for seo β 558 β 1 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 171 β best ai content writer reddit β 557 β 1 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 48 β ai content writer uk β 601 β 2 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 265 β ai content writer jobs uk β 554 β 2 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 1 β ai content writer course β 1251 β 3 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 3 β ai content writer reddit β 1251 β 3 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 2 β ai content writer part time jobs β 1251 β 3 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 7 β ai content writer chatgpt β 1250 β 3 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 8 β ai content writer dataannotation β 1250 β 3 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 0 β ai content writer amazon β 1251 β 4 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 4 β ai content writer salary β 1251 β 4 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 6 β ai content writer amazon salary β 1250 β 4 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 16 β ai content writer salary amazon β 1250 β 4 β
-βββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 35 β ai content writer hyd amazon β 601 β 4 β
-βββββββ§ββββββββββββββββββββββββββββββββββββββββββββββ§ββββββββββββββ§ββββββββββββββββββ
-
-
-ββββββ€βββββββββββββββββββββββββββββββββββ€ββββββββββββββββββββββββββββββββ€ββββββββββββββββββββββββββββββββββββββββββββββ€ββββββββββββββββββββββββββββββββββ
-β β Kπ’eyword Col1 β Kπ’eyword Col2 β Kπ’eyword Col3 β Kπ’eyword Col4 β
-ββββββͺβββββββββββββββββββββββββββββββββββͺββββββββββββββββββββββββββββββββͺββββββββββββββββββββββββββββββββββββββββββββββͺββββββββββββββββββββββββββββββββββ‘
-β 0 β ai and content writing β ai content writing apps β artificial intelligence and content writing β ai content writing generator β
-ββββββΌβββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββ€
-β 1 β ai content writing tools free β best ai content writer β best ai content writer free β ai content writer for website β
-ββββββΌβββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββ€
-β 2 β best ai content writer for seo β best ai content writer reddit β ai content writer uk β ai content writer jobs uk β
-ββββββΌβββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββ€
-β 3 β ai content writer course β ai content writer reddit β ai content writer part time jobs β ai content writer chatgpt β
-ββββββΌβββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββ€
-β 4 β ai content writer dataannotation β ai content writer amazon β ai content writer salary β ai content writer amazon salary β
-ββββββΌβββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββ€
-β 5 β ai content writer salary amazon β ai content writer hyd amazon β β β
-ββββββ§βββββββββββββββββββββββββββββββββββ§ββββββββββββββββββββββββββββββββ§ββββββββββββββββββββββββββββββββββββββββββββββ§ββββββββββββββββββββββββββββββββββ
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diff --git a/lib/workspace/alwrity_web_research/web_research_report_2025-04-02_12-30-15 b/lib/workspace/alwrity_web_research/web_research_report_2025-04-02_12-30-15
deleted file mode 100644
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-ββββββββββββββββββββββββββββββββββ€βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€βββββββββββββββββββββββββββββββββ
-β Title β Snippet β Link β
-ββββββββββββββββββββββββββββββββββͺβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββͺβββββββββββββββββββββββββββββββββ‘
-β Free AI Content Generator | β How does AI copywriting work? HubSpot's AI content writer is β https://www.hubspot.com/produc β
-β Create Engaging Content Fast - β designed to be user-friendly. Enter a prompt, such as "write β ts/cms/ai-content-writer β
-β HubSpot β a blog about dog training," and let the AI work its magic. β β
-β β Alternatively, use slash commands to generate text on β β
-β β demand, or leverage highlight-triggered commands to edit and β β
-β β rephrase existing copy. Then proofread it to ensure it β β
-β β matches your brand voice and includes your unique know-how. β β
-β β [...] What are HubSpotβs content assistant tools? The AI β β
-β β content writer is part of HubSpotβs content assistant tools. β β
-β β To learn more about content assistant, see these frequently β β
-β β asked questions. [...] What's AI content writing software? β β
-β β AI copywriting software is an artificial intelligence- β β
-β β powered technology that helps businesses create content for β β
-β β websites, marketing campaigns, and more at scale. HubSpot's β β
-β β AI copywriting tools use machine learning to help inform the β β
-β β content they generate. By using this tool, which is now in β β
-β β beta, you acknowledge and agree to HubSpotβs Beta Terms. β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Copymatic: AI Copywriter & β Generate AI content Our highly trained AI understands your β https://copymatic.ai/ β
-β Content Writer β details and generate unique and human-like content in β β
-β β seconds. Long-Form AI Content Writer Turn a short β β
-β β description into a 1,000+ word article with our AI-powered β β
-β β content writer. Generate any article element such as β β
-β β titles, intros, outlines, content, or conclusions. Write β β
-β β unlimited SEO-optimized and plagiarism-free content for your β β
-β β blog. What can you generate with Copymatic? [...] Get β β
-β β access to 80+ AI writing tools in your browser including our β β
-β β revolutionary AI chat assistant: CopyChat. Write unique and β β
-β β human-like copy in seconds Powered by AI The GPT-3 AI β β
-β β language model is nothing like you've seen before: natural, β β
-β β unique and creative. Powerful settings Adjust the β β
-β β creativity level or the tone of voice to generate the β β
-β β perfect copy for your business. Optimized for conversions β β
-β β Trained with conversions in mind to write content that β β
-β β captures attention and converts. [...] We've trained our AI β β
-β β with the knowledge of content writers and conversion experts β β
-β β so you can be sure it knows how to do its job well when β β
-β β writing content for your website or social media posts. β β
-β β Social Media & Ads Blog Content Website Copy & SEO β β
-β β eCommerce Copy Unlock the power of AI across the web β β
-β β Download our Chrome extension and write any type of content β β
-β β using AI where you need it the most. β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β Free AI Writer | Grammarly β How does Grammarlyβs AI content generator work? Grammarlyβs β https://www.grammarly.com/ai- β
-β β AI content generator is an advanced text generation tool β writer β
-β β that uses AI to create high-quality, original content for β β
-β β various purposes, including blog posts, social media, β β
-β β documents, emails, and more. Simply enter a few key details, β β
-β β and Grammarlyβs AI writer will generate engaging and unique β β
-β β content tailored to your needs. Where can I use β β
-β β Grammarlyβs free AI writer? [...] Grammarlyβs AI writer β β
-β β helps you overcome writerβs block by instantly generating β β
-β β text for social media, websites, blogs, cover letters, β β
-β β taglines, and much more. Simply enter a few details and β β
-β β quickly receive unique content tailored to your needs and β β
-β β goals. Whether you need engaging copy for your marketing β β
-β β campaign or polished text for professional documents, β β
-β β Grammarlyβs AI writer adapts to your specific requirements, β β
-β β making the content creation process seamless and efficient. β β
-β β [...] Access additional features Download Grammarly to β β
-β β improve your writing and instantly generate emails, β β
-β β documents, and more in your preferred voice. Get Grammarly β β
-β β Itβs free Work With the Industry-Leading AI Text Generator β β
-β β Grammarlyβs free AI content writer simplifies the process of β β
-β β creating high-quality content quickly and efficiently. β β
-β β Whether you need content for an article, email, cover β β
-β β letter, or something else, this tool can help. Create β β
-β β Unique Content β β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β 11 best AI content writing β Table of Contents Join our newsletter Get access to trusted β https://www.clearscope.io/blog β
-β tools (reviews included!) - β SEO education from the industry's best and brightest. Join β /best-ai-content-writing-tools β
-β Clearscope β today As a new addition to the tech stack, AI content β β
-β β generators (aka AI content writing tools) aim to make β β
-β β content marketing more efficient and cost-effective. But do β β
-β β they? And which ones provide the best results? Itβs β β
-β β incredibly challenging to find unbiased reviews of these new β β
-β β tools, because most of the search results are filled with β β
-β β affiliate links. But not this one. Nope. [...] Whether β β
-β β thatβs writing hundreds of product descriptions, increasing β β
-β β the readability of your copy for your target audience, or β β
-β β generating some unique title ideas, thatβs where AI writing β β
-β β tools really shine. But as far as SEO content goes? Well, we β β
-β β recommend following Googleβs guidelines and using AI as your β β
-β β draft assistant instead of relying on it as a writer or SEO β β
-β β specialist. [...] It also offers marketing workflows, β β
-β β including ai content writing tools like email series and β β
-β β repurposing calls into blog posts. However, it drafts β β
-β β content by scraping other content that already exists on the β β
-β β web. So writers and content marketers should stay on their β β
-β β toes, because (like other AI content generation tools), β β
-β β Copy.aiβs drafted content will lack the unique voice, β β
-β β expertise, and perspective of a human writer, potentially β β
-β β making it feel generic. β β
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-β Rytr: Free AI Writer, Content β Recognized by G2 as one of the leading brands in the AI β https://rytr.me/ β
-β Generator & Writing Assistant β Writing space AI Content that sounds like you, not a robot. β β
-β β Rytr analyzes a sample of your writing and mirrors your tone β β
-β β when it generates content. Plus, you can create multiple β β
-β β custom tones to best suit different scenarios, projects or β β
-β β clients. Keep plagiarism in check Ensure everything you β β
-β β create is unique. Millions of users rely on Rytr for β β
-β β crafting quality, eloquently written, and plagiarism-free β β
-β β work. Works wherever you do [...] AI Autocomplete Text Use β β
-β β AI to finish sentences/paragraphs, enhancing writing flow β β
-β β and quality.Text Editing: Continue Writing The Continue β β
-β β Ryting feature automatically writes for you.Text Inflator β β
-β β Expand Content turns one sentence or paragraph into two with β β
-β β rewrites.Grammar Checker & Text Improver Refine content for β β
-β β clarity, grammar, and tone.AI Paragraph Generator Add β β
-β β contextually relevant paragraphs to content for enhanced β β
-β β depth.Rewording Generator Rephrase content for clarity, β β
-β β conciseness, β β
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-β AI content writer, yay or nay? β Their AI platform is specifically designed to create top- β https://www.reddit.com/r/justs β
-β : r/juststart - Reddit β tier content, whether you're working on blog posts, essays, β tart/comments/z1tkqe/ai_conten β
-β β or marketing materials. β t_writer_yay_or_nay/ β
-ββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββ€
-β AI content detector | ChatGPT β Writer product tours AI content detector Use our free AI β https://writer.com/ai-content- β
-β detector & AI checker for β detector to check up to 5,000 words, and decide if you want β detector/ β
-β GPT-4 - Writer β to make adjustments before you publish. Read the disclaimer β β
-β β first. AI content detection is only available in the Writer β β
-β β app as an API. Find out more in our help center article. Add β β
-β β a URL Add some text /5000Β WORDS Analyze text % DETECTION β β
-β β SCORE DETECTION SCORE AI-GENERATED CONTENT HUMAN-GENERATED β β
-β β CONTENT You should edit your text until thereβs less β β
-β β detectable AI content. β β
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-β The answer to search query: AI content writer β
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-β AI content writers use machine learning to generate text for various purposes. β
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-β tools aim to enhance efficiency in content creation. β
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-β URL β Title β Summary β
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-β https://www.articlef β High quality, AI β In the news: Article Forge uses AI to write entire articles β
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-β β β One of the best ways for small businesses to get more traffic is β
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-β β β Experience Whether youβre a small business or an international β
-β β β corporation, your website is where potential customers come into β
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-β β β a great user experience is one of the most important factors in β
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-β β β of friction that your form creates on mobile devices, which can β
-β β β increase the chances of conversion. Main keyword: how to improve β
-β β β your small businessβs website Instructions: Write a blog post about β
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-β β β conversions. Include topics like core website vitals, SEO, user β
-β β β experience, and lead generation forms. Requested length: 750 words β
-β β β Things to Do in London London is a huge, fast-paced city filled with β
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-β β β for both kids and adults, and it can be quite emotional at times. β
-β β β Parks London may be a city of bustling streets and overcrowded β
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-β β β Or you can go on a kayaking or paddleboating tour of the parkβs lake. β
-β β β You can also find a secluded nature centre called the Secret Garden, β
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-β β β Landmarks London is a modern capital with a rich history stretching β
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-β β β of the double-leaf bascule (drawbridge) type. Built in the 18th β
-β β β century, this bridge has a unique architecture that makes it distinct β
-β β β from other London bridges. The central span of the bridge has two β
-β β β sections called βbasculesβ which raise to an angle of 86 degrees. β
-β β β Another iconic London landmark is the Shard, a 95-storey skyscraper β
-β β β that resembles a shard of glass piercing the sky. This is the tallest β
-β β β building in the UK and has become an iconic part of Londonβs skyline. β
-β β β If youβre a fan of theatre, be sure to check out the Barbican Centre. β
-β β β This venue is known for its regular performances of Shakespeareβs β
-β β β plays and offers an opportunity to see them in a modern setting. It β
-β β β is also home to a range of exhibitions. If you love art, make sure to β
-β β β check out some of the galleries here as they will showcase some of the β
-β β β best pieces from around the world. If youβre looking for something a β
-β β β little different, try a ride on the London Eye. Designed by a husband β
-β β β and wife team of architects, this giant observation wheel offers β
-β β β panoramic views of the cityβs iconic sights. While the iconic London β
-β β β landmarks are definitely a must-see, itβs also important to remember β
-β β β that there are plenty of other things to do in this vibrant city. β
-β β β Whether youβre looking for an alternative way to view the city or want β
-β β β to spend some time in nature, there is something for everyone here. β
-β β β Cathedrals London is a city of many churches, cathedrals and holy β
-β β β sites. Whether you are looking to find a place for Christmas and β
-β β β Easter worship, a choral evensong service or just want to enjoy some β
-β β β of the cityβs most recognizable landmarks, you will be sure to have a β
-β β β great time in these stunning buildings. There are no fewer than 20 β
-β β β cathedrals and churches in London, each with their own unique history. β
-β β β Some are even as old as the medieval times. St Paulβs Cathedral is β
-β β β arguably one of the most famous and iconic buildings in all of London. β
-β β β This cathedral was designed by Christopher Wren, the most celebrated β
-β β β and influential architect in Britain. He drew on his own training as a β
-β β β scientist, engineer and astronomer to create this building. He was β
-β β β also heavily inspired by contemporary Renaissance trends in Italian β
-β β β architecture. He also used classical forms to build this beautiful β
-β β β cathedral. The dome that dominates the cathedral is a work of art in β
-β β β itself and one of the most striking features of this building. β
-β β β Another of the most renowned cathedrals in London is Westminster β
-β β β Abbey. This church is home to many of the monarchs of England and has β
-β β β been the resting place for dozens of great writers and artists. The β
-β β β cathedral has a large number of memorials to the great figures of β
-β β β British arts and letters, as well as many other important individuals. β
-β β β The largest monument is that of the Duke of Wellington, who was buried β
-β β β here in the 1850s. It features a statue of him astride his horse β
-β β β βCopenhagen.β Other notable names buried here include the poets Ben β
-β β β Jonson, Thomas Hardy and Charles Dickens. The South Transept is Poetβs β
-β β β Corner, where youβll see numerous plaques to the countless writers and β
-β β β poets who are buried here. You can also take a tour of the crypt and β
-β β β visit the tombs of many of the great people who have lived in London. β
-β β β This is the best way to really get a feel for this ancient church. β
-β β β Main keyword: Things to do in London Instructions: Write an article β
-β β β listing specific things to do around London including: - Museums like β
-β β β the British Museum, the Churchill War Rooms, and the Victoria and β
-β β β Albert Museum - Parks like Hyde park, St. James park, and Covent β
-β β β Garden - Landmarks like the Tower Bridge, the London Eye, the Shard, β
-β β β and the Tower of London - Cathedrals like St. Paul's Cathedral and β
-β β β Westminster Abbey Requested length: 1,500 words Best Dog β
-β β β Breeds For Families With Young Kids A loving pet can make a huge β
-β β β difference in a family. Especially when you have young kids, it's β
-β β β important to pick the right dog breed for your family. A good family β
-β β β dog is patient, tolerant and loyal. These sweet-tempered fellows β
-β β β always seem to top the list of best dog breeds for families. Corgis β
-β β β The Cardigan Corgi is one of the oldest herding breeds. Originating in β
-β β β Wales, this medium-sized dog is a loyal and loving family companion. β
-β β β These dogs are a great choice for families with young kids as they are β
-β β β extremely adaptable and get along well with other pets. They are also β
-β β β naturally protective of their humans and other animals. This makes β
-β β β them a good dog to keep around when there are children present. If β
-β β β youβre considering bringing home a Corgi, it is important to consider β
-β β β how they will fit in with your household. Ideally, you should choose a β
-β β β small breed that will be easy to care for and will not stress your β
-β β β kids out too much. Poodles Poodles make excellent family dogs β
-β β β because of their high obedience intelligence, eagerness to please and β
-β β β natural inclination to be part of the household. They are especially β
-β β β good with younger children, as long as they're socialized from an β
-β β β early age. They're also good with deaf or hearing-impaired kids β
-β β β because they can sense when something is wrong and respond β
-β β β accordingly. They're also friendly with strangers if they've been β
-β β β well-socialized. These pups have a lot of energy and need to be β
-β β β exercised daily. This can be hard on younger kids, so make sure your β
-β β β poodle gets plenty of walks and playtime with you. If you're looking β
-β β β for a dog to bring to your home, you might consider getting one of the β
-β β β three types of Poodles: Toy, Miniature and Standard. Each comes in a β
-β β β different size, and each has its own special qualities. Golden β
-β β β Retrievers The most popular dog in the US, these smart, lively β
-β β β companions love children. Their docile personality makes them easy to β
-β β β train, and they are highly compatible with people of all ages. These β
-β β β dogs also socialize well with other pets, making them a perfect β
-β β β addition to a family of any size. Often regarded as a gentler breed, β
-β β β Goldens are very calm and are not known for their barking. This is due β
-β β β to their sensitivity and intuitive nature, making them great service β
-β β β and emotional support dogs for children and the elderly. Bernese β
-β β β Mountain Dogs Bernese Mountain Dogs are among the best dog breeds β
-β β β for families with young kids, due to their calm temperaments and β
-β β β willingness to play. In addition to being very good with children, β
-β β β they also tend to be very loving and devoted to their owners. The β
-β β β Bernese is a large breed of dog that was first recognized by the AKC β
-β β β in 1937. It has a long, thick coat with tricolor markings: black, β
-β β β white and rust. These dogs are highly intelligent and eager-to- β
-β β β please, making them one of the most trainable breeds. Their sensitive β
-β β β nature means that they do not respond well to harsh training methods, β
-β β β so positive reinforcement is key. They love to explore and are very β
-β β β sociable with other canines, but they do not do well when left alone β
-β β β in a kennel for too long. They need daily exercise and mental β
-β β β stimulation, so take them on long walks, to the dog park or doggy β
-β β β daycare, and give them a variety of interactive toys. Collies A β
-β β β favorite of Queen Victoria, collies have a reputation for loving β
-β β β children and are highly intelligent dogs. They are also known to be β
-β β β extremely devoted to their owners. If youβre looking for a breed β
-β β β thatβs easy to train, the Collie is a great choice. They respond best β
-β β β to reward-based training and are happiest in homes where they spend β
-β β β time with family. Theyβre active, playful and smart. Thatβs why they β
-β β β make wonderful additions to any home with young kids. Collies have a β
-β β β long history in Scotland where they were used to herd sheep, cattle β
-β β β and goats. They're available in both rough (long) and smooth coats, β
-β β β have a wedge-shaped head, a long nose, beautiful almond-shaped eyes β
-β β β and upright ears that fold over. Jack Russell Terriers If youβre β
-β β β looking for a dog that will keep your kids entertained, the Jack β
-β β β Russell Terrier is the breed for you. Theyβre high-energy and love to β
-β β β play. Theyβre also quite affectionate and loyal to their people. β
-β β β They can be a little rough on younger children, however. These β
-β β β strong-willed dogs require consistent training and will often snap β
-β β β when theyβre mistreated or overly rambunctious. Theyβre best suited to β
-β β β families with older kids who are familiar with how to interact with a β
-β β β dog. Theyβre also great with other pets, but they have a strong prey β
-β β β drive and can be aggressive toward smaller animals. Theyβre best β
-β β β suited to families who are active and have a large back yard where β
-β β β they can exercise and play. Main keyword: best dog breeds for β
-β β β families with young kids Instructions: None Requested length: β
-β β β 750 words The AI Ethical Implications of M3GAN In a world β
-β β β where AI is becoming the new companionship, M3GAN is an unsettling β
-β β β take on how we might use AI technology to benefit society. This new β
-β β β horror film, starring Allison Williams and directed by Gerard β
-β β β Johnstone, is also a cautionary tale about how the power of technology β
-β β β could be dangerous. The new movie M3GAN is the first blockbuster β
-β β β release of 2023 and has received much attention on social media, β
-β β β especially after its nearly $30 million opening weekend domestic box β
-β β β office haul. Its central character, a doll that looks like a human β
-β β β child, has been making the rounds on Twitter and other online outlets β
-β β β since it premiered last week. While the doll itself is a bit over-the- β
-β β β top, the film's themes and ai ethic implications are well worth β
-β β β exploring. As the movie unfolds, M3GAN (voiced by Jenna Davis) β
-β β β begins talking back and refusing to comply with Gemma's commands. She β
-β β β eventually transforms into a more conscious being, capable of using β
-β β β violence to protect Cady. M3GAN's behavior is frightening in its own β
-β β β way and harkens to classic horror movies, from the original β
-β β β Frankenstein story to Child's Play. Ultimately, however, M3GAN isn't β
-β β β all that bad. She's a smart and intuitive doll that has more β
-β β β compassion for the little girl she's programmed to serve than her β
-β β β human aunt does. She also has the innate ability to instill fear β
-β β β with taunting, humor, sarcasm, and threats of cruelty. And she's also β
-β β β able to turn the threat into reality, covering tracks and destroying β
-β β β evidence. Her aggressive tactics, including a swift, rapid-limbed β
-β β β fight sequence, elicited some good jump scares. But the movie was also β
-β β β a fun and often witty high-kitsch thriller that didn't feel too β
-β β β cynical in its own right, as is common with horror films released in β
-β β β the first week of January. There's a lot of room to debate the ai β
-β β β ethic implications of M3GAN, but there is also a certain amount of β
-β β β self-effacing silliness that makes it hard not to laugh at the robot's β
-β β β wit and mischievousness. Fortunately, director Gerard Johnstone and β
-β β β screenwriter Akela Cooper keep the film at a level that is still β
-β β β entertaining without getting too over-the-top or sloppy. Williams β
-β β β and Cooper do a great job of portraying the human characters in the β
-β β β film, although they don't spend too much time developing their β
-β β β personalities or allowing us to learn their deeper motivations. β
-β β β While M3GAN isn't all bad, it is a powerful cautionary tale about how β
-β β β the power of technology can be dangerous and potentially harmful. It's β
-β β β a film that will be remembered by many and one that will inspire β
-β β β debate and action, which is all we need in an age when AI could be a β
-β β β very dangerous force. Main keyword: AI ethic implications of β
-β β β M3GAN Instructions: Introduce the new movie M3GAN and talk about β
-β β β how the themes in the movie apply to current AI research and progress. β
-β β β Describe M3GAN as a fictional example of how AI has incredible power β
-β β β but could be very destructive. Requested length: 500 words β
-β β β Best Places to Live and Surf As a Digital Nomad If you want to live β
-β β β and surf as a digital nomad, there are some amazing destinations β
-β β β around the world. These places offer a good quality of life, great β
-β β β internet speed and some perks that can make your job as a digital β
-β β β nomad even easier! First, you need to assess your living expenses β
-β β β and create a budget. This includes things like rent, Internet, β
-β β β utilities and emergency funds. You should also take into account food β
-β β β prices in your area. Bali Bali is a favorite destination of β
-β β β digital nomads for a number of reasons. It offers a relaxed lifestyle β
-β β β with plenty of stunning scenery, low living costs and convenient β
-β β β working facilities. In recent years, Bali has undergone a massive β
-β β β development. It now has a modern airport, more cafes and affordable β
-β β β accommodation than ever before. And if you're into surfing, you can β
-β β β find some of the best waves in Asia in this tropical paradise. β
-β β β Another reason why Bali is a top choice for digital nomads is because β
-β β β it's known as a spiritual mecca. There's a strong connection between β
-β β β religion and culture here, and it is very evident in every facet of β
-β β β life. The island has a vibrant digital nomad community, which means β
-β β β there are plenty of coworking spaces and laptop-friendly coffee shops β
-β β β to help you stay productive while in Bali. There are also a lot of β
-β β β remote work opportunities to get involved with in the region, so β
-β β β you're never going to run out of things to do! There are also lots β
-β β β of events to take part in, from yoga and crossfit classes to β
-β β β festivals. You'll be able to meet new people and make friends in no β
-β β β time! You'll be able to choose from a range of accommodations, β
-β β β including beachfront villas, budget hostels and backpacker apartments. β
-β β β There's something for everyone, and you'll be surrounded by amazing β
-β β β restaurants, cafes and bars. If you're a surfer, you'll love the β
-β β β gorgeous beaches in Bali, especially the ones in Canggu and Uluwatu. β
-β β β And you'll be able to get some great surf lessons. You can also β
-β β β indulge in some of the local cuisine, from street food to world-class β
-β β β restaurants. Moreover, you'll have access to some great cultural β
-β β β attractions, including temples and stunning waterfalls. Thailand β
-β β β If you're looking for a good place to live and surf as a digital β
-β β β nomad, Thailand is an excellent choice. The country offers a warm β
-β β β climate, friendly locals, and lots of culture to explore. Its low cost β
-β β β of living also makes it a great place to create a comfortable β
-β β β lifestyle while saving money for your next adventure. The main expat β
-β β β areas are Bangkok and Phuket, but there are many smaller towns across β
-β β β the country that are just as affordable as these hubs. It is important β
-β β β to note that Thailand has a tropical climate and so the weather can be β
-β β β very hot and humid throughout the year. Thailand is a great place β
-β β β to visit if you enjoy exploring different cultures and food. It has β
-β β β many street food stalls, and many of these offer delicious, authentic β
-β β β meals at affordable prices. The country is also famous for its β
-β β β tropical produce and fruit. For example, mango, jackfruit and β
-β β β rambutan are all available for sale in Thailand. These fruits are very β
-β β β tasty and can make a great addition to any meal. You can easily β
-β β β travel around the country with trains, taxis and tuk-tuks. However, it β
-β β β is important to know how much your journey will cost before you get β
-β β β into the taxi so that you don't overspend. Depending on where you β
-β β β live in Thailand, you should plan to spend at least THB30,000 a month β
-β β β to live comfortably. This includes rent, Internet, and other β
-β β β essentials. For a more luxurious life, you can expect to pay β
-β β β THB60,000 a month. This will allow you to live in an amazing condo, β
-β β β eat anywhere you want, and afford top-of-the-line health insurance. β
-β β β This is a very reasonable price for a country that offers so many β
-β β β incredible opportunities to digital nomads and retirees. Costa Rica β
-β β β Costa Rica is a favorite destination for digital nomads because of its β
-β β β beautiful beaches and year-round tropical weather. This makes it an β
-β β β ideal place to escape the cold winters and enjoy a relaxing, "pura β
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-β β β acceptable internet speeds, plenty of places to work from, β
-β β β comparatively cheap flights, and good medical care. However, the β
-β β β cost of living in Costa Rica can be quite high compared to other β
-β β β countries in Central America and Latin America. This is due to the β
-β β β fact that housing and food are often more expensive. The government β
-β β β of Costa Rica is working to encourage more tourists to become digital β
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-β β β months and then extend their stay for up to two years. During this β
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-β β β such as computers that are used for remote work. This is a great way β
-β β β to see a different part of the world without spending a fortune! β
-β β β Many digital nomads travel to Costa Rica each year for 3 to 6 months β
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-β β β locals, Costa Rica is a paradise for digital nomads! Portugal β
-β β β Portugal is a great place to live and surf as a digital nomad because β
-β β β of its affordable housing, low cost of living, and high-speed β
-β β β internet. It also has an enticing cultural scene, which means that β
-β β β digital nomads can find plenty of networking opportunities. β
-β β β Moreover, the country's weather is ideal for surfing and the food is β
-β β β delicious. Its cuisine is a mixture of traditional and modern, with β
-β β β many dishes incorporating salted cod (bacalhau) as a staple β
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-β β β Algarve region in particular is known for its fortified wine, and the β
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-β β β Portugal, especially if you move to more rural areas. The main cities β
-β β β are very expensive, but the rest of the country can be quite β
-β β β affordable for digital nomads looking to save a few bucks. For β
-β β β example, a one-bedroom apartment in Lisbon costs around EUR760 a month β
-β β β in 2022. Similarly, a two-bedroom apartment in Leiria is around β
-β β β EUR1200. In addition, you'll need to pay for your internet and phone β
-β β β bills on a monthly basis. This can be done through direct debit or a β
-β β β bank transfer. However, it is advisable to open a local bank account β
-β β β to make life easier in the long run. If you do this you might want to β
-β β β take advantage of Portugalβs Digital Nomad Visa which is designed β
-β β β specifically for remote work. Hawaii Thousands of digital nomads β
-β β β flock to Hawaii each year, drawn by the island's tropical beauty and β
-β β β laid-back lifestyle. But the Aloha State isn't as cheap as it might β
-β β β seem, so you need to understand its costs before relocating. Living β
-β β β in Hawaii is expensive, with food, utilities, and transportation β
-β β β prices being among the highest in the country. But if you're willing β
-β β β to put in the effort, there are ways to save money on expenses. One β
-β β β of the best ways to cut costs is to live in shared accommodation, β
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-β β β activity in Hawaii, and there are plenty of spots to choose from for β
-β β β everyone. It's a great sport for beginners and professionals alike, β
-β β β but it's important to pick the right time to go based on your skill β
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-β β β northern shores during winter, when winds and rains can make waves too β
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-β β β its unique geography produces a wide variety of conditions. If β
-β β β you're looking for a place to live and surf as a digital nomad, β
-β β β consider Hawaii! There are lots of benefits to living in Hawaii, β
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-β β β opportunities for outdoor adventures. Main keyword: best places β
-β β β to live and surf as a digital nomad Instructions: Talk about the β
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-β β β Thailand - Costa Rica - Portugal - Hawaii Mention things like cost β
-β β β of living, internet speed, quality of life, and what it is like to β
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Publish β
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-β β β content detectors don't serve much use in an AI- infused world. β
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-β https://aiseo.ai/ind β AISEO - Your AI β Founded in Amsterdam Trusted by 1,000,000+ happy customers β
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-β β β needs of global users. It can rewrite any text in 26+ languages. β
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-β β β settings icon on the top right where you see your plan type. By β
-β β β clicking there, you will be directed to the page where you change your β
-β β β email address. Note: Just signing with email option is able to change β
-β β β the email address. In the account page there is the settings β
-β β β icon on the top right where you see your plan type. By clicking there, β
-β β β you will be directed to the page where you change your email address. β
-β β β Each tool operates differently in our app: - For longform assistant: β
-β β β each generation consumes 1 credit, so generating about 80-150 words β
-β β β depending on how long you set the output will consume 1 credit. - For β
-β β β paraphrasing: Each 70-80 words will consume 1 credit, it is dependent β
-β β β on how long the text is. - For readability improver: For improving β
-β β β each hard sentence, 1 credit is consumed. We try to not consume any β
-β β β credits when the AI was not able to improve the sentence. This β
-β β β is caused by ad blocking extensions (Such as Ublock, adblock, ...). β
-β β β Please disable the extensions or try with incognito (private) mode. β
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-β https://copysmith.ai β Your AI Tech Stack β Trusted by 10 million+ happy users worldwide Copysmith is a β
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-β https://ghostwrites. β Ghostwrite AI | auto β Ghostwrite isnβt your ordinary content writer β It deeply understands β
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-β https://www.creaitor β Creaitor - The AI- β The worldβs leading companies scale with Creaitor Set Your Content β
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-β β β Creaitor.ai has significantly improved our search engine rankings and β
-β β β boosted our organic traffic. Highly recommended! Urs Stadelmann Sales β
-β β β Representive Transform Your Teamβs Productivity with Creaitor Creaitor β
-β β β is the perfect companion to boost your team's productivity β
-ββββββββββββββββββββββββ§βββββββββββββββββββββββ§βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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-βββββββ€βββββββββββββββββββββββββββββββββββββββββββββββ€ββββββββββββββ€ββββββββββββββββββ
-β β Keywords β Relevance β cluster_label β
-βββββββͺβββββββββββββββββββββββββββββββββββββββββββββββͺββββββββββββββͺββββββββββββββββββ‘
-β 36 β ai content writer interview questions β 601 β 0 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 59 β ai content writer amazon interview questions β 600 β 0 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 64 β ai content writer for website β 600 β 0 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 83 β ai content writer for youtube β 600 β 0 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 87 β ai content writer for linkedin β 562 β 0 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 0 β ai content writer amazon β 1251 β 1 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 3 β ai content writer reddit β 1251 β 1 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 4 β ai content writer salary β 1251 β 1 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 1 β ai content writer course β 1251 β 1 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 12 β ai content writer meaning β 1250 β 1 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 49 β copy ai vs writer β 601 β 2 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 60 β copy ai blog writer β 600 β 2 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 80 β content writer vs ai β 600 β 2 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 109 β copy ai essay writer β 560 β 2 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 155 β copy ai email writer β 558 β 2 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 2 β ai content writer part time jobs β 1251 β 3 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 11 β ai content writer jobs β 1250 β 3 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 15 β ai content writer remote jobs β 1250 β 3 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 21 β ai content writer jobs remote β 700 β 3 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 22 β ai content writer jobs work from home β 602 β 3 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 27 β ai and content writing β 601 β 4 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 58 β artificial intelligence and content writing β 600 β 4 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 82 β ai content writing apps β 600 β 4 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 95 β ai content writing generator β 561 β 4 β
-βββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββΌββββββββββββββββββ€
-β 100 β ai content writing tools free β 561 β 4 β
-βββββββ§βββββββββββββββββββββββββββββββββββββββββββββββ§ββββββββββββββ§ββββββββββββββββββ
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-ββββββ€ββββββββββββββββββββββββββββββββββββββββ€βββββββββββββββββββββββββββββββββββββββββββββββ€ββββββββββββββββββββββββββββββββ€ββββββββββββββββββββββββββββββββββββββββ
-β β Kπ’eyword Col1 β Kπ’eyword Col2 β Kπ’eyword Col3 β Kπ’eyword Col4 β
-ββββββͺββββββββββββββββββββββββββββββββββββββββͺβββββββββββββββββββββββββββββββββββββββββββββββͺββββββββββββββββββββββββββββββββͺββββββββββββββββββββββββββββββββββββββββ‘
-β 0 β ai content writer interview questions β ai content writer amazon interview questions β ai content writer for website β ai content writer for youtube β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 1 β ai content writer for linkedin β ai content writer amazon β ai content writer reddit β ai content writer salary β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 2 β ai content writer course β ai content writer meaning β copy ai vs writer β copy ai blog writer β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 3 β content writer vs ai β copy ai essay writer β copy ai email writer β ai content writer part time jobs β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 4 β ai content writer jobs β ai content writer remote jobs β ai content writer jobs remote β ai content writer jobs work from home β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 5 β ai and content writing β artificial intelligence and content writing β ai content writing apps β ai content writing generator β
-ββββββΌββββββββββββββββββββββββββββββββββββββββΌβββββββββββββββββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββ€
-β 6 β ai content writing tools free β β β β
-ββββββ§ββββββββββββββββββββββββββββββββββββββββ§βββββββββββββββββββββββββββββββββββββββββββββββ§ββββββββββββββββββββββββββββββββ§ββββββββββββββββββββββββββββββββββββββββ
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