"""
Blog Rewriter UI Module
This module contains the Streamlit interface for the blog rewriter,
providing a user-friendly way to interact with the rewriting functionality.
"""
import streamlit as st
import json
from datetime import datetime
from .blog_rewriter_utils import BlogRewriter, REWRITE_MODES, TONE_OPTIONS, MAX_META_DESCRIPTION_LENGTH
def write_blog_rewriter():
"""Main function to display the blog rewriter UI."""
st.title("AI Blog Rewriter & Updater")
# Create a container for the header section
with st.container():
st.markdown("""
Revitalize Your Content
Update, fact-check, and enhance your existing blog posts with AI assistance.
Our tool analyzes your content, researches the latest information, and rewrites your blog
to be more engaging, accurate, and SEO-friendly.
""", unsafe_allow_html=True)
# Initialize the BlogRewriter class
if "blog_rewriter" not in st.session_state:
st.session_state.blog_rewriter = BlogRewriter()
# Initialize session state variables
if "original_content" not in st.session_state:
st.session_state.original_content = {}
if "content_analysis" not in st.session_state:
st.session_state.content_analysis = {}
if "research_results" not in st.session_state:
st.session_state.research_results = {}
if "rewritten_content" not in st.session_state:
st.session_state.rewritten_content = {}
if "generated_images" not in st.session_state:
st.session_state.generated_images = {}
if "current_step" not in st.session_state:
st.session_state.current_step = 1
# Create tabs for the workflow
tab1, tab2, tab3, tab4 = st.tabs([
"1️⃣ Import Content",
"2️⃣ Analyze & Research",
"3️⃣ Rewrite Settings",
"4️⃣ Results & Export"
])
# Tab 1: Import Content
with tab1:
st.header("Import Your Blog Content")
import_method = st.radio(
"Choose import method:",
["Import from URL", "Paste content manually"],
horizontal=True
)
if import_method == "Import from URL":
url = st.text_input(
"Enter blog URL:",
placeholder="https://example.com/blog-post",
help="Enter the full URL of the blog post you want to rewrite"
)
if st.button("Import Content", type="primary"):
if not url:
st.error("Please enter a valid URL")
else:
with st.spinner("Extracting content from URL..."):
# Extract content from URL
st.session_state.original_content = st.session_state.blog_rewriter.extract_content_from_url(url)
if "error" in st.session_state.original_content:
st.error(f"Error extracting content: {st.session_state.original_content['error']}")
else:
st.success("Content extracted successfully!")
st.session_state.current_step = 2
st.rerun()
else:
col1, col2 = st.columns([3, 1])
with col1:
title = st.text_input(
"Blog Title:",
placeholder="Enter the title of your blog post"
)
with col2:
author = st.text_input(
"Author (optional):",
placeholder="Author name"
)
meta_description = st.text_area(
"Meta Description (optional):",
placeholder="Enter the meta description of your blog post",
max_chars=MAX_META_DESCRIPTION_LENGTH,
height=80
)
content = st.text_area(
"Blog Content:",
placeholder="Paste your blog content here...",
height=300
)
if st.button("Import Content", type="primary"):
if not title or not content:
st.error("Please enter both title and content")
else:
# Store the manually entered content
st.session_state.original_content = {
"title": title,
"meta_description": meta_description,
"content": content,
"author": author,
"headings": [],
"images": [],
"publish_date": None,
"url": None
}
st.success("Content imported successfully!")
st.session_state.current_step = 2
st.rerun()
# Display the imported content if available
if st.session_state.original_content and "title" in st.session_state.original_content:
with st.expander("View Imported Content", expanded=False):
st.subheader(st.session_state.original_content["title"])
if st.session_state.original_content.get("meta_description"):
st.markdown(f"**Meta Description:** {st.session_state.original_content['meta_description']}")
if st.session_state.original_content.get("author"):
st.markdown(f"**Author:** {st.session_state.original_content['author']}")
if st.session_state.original_content.get("publish_date"):
st.markdown(f"**Published:** {st.session_state.original_content['publish_date']}")
st.markdown("**Content Preview:**")
content_preview = st.session_state.original_content["content"]
if len(content_preview) > 1000:
content_preview = content_preview[:1000] + "..."
st.text_area("", content_preview, height=200, disabled=True)
# Display images if available
if st.session_state.original_content.get("images"):
st.markdown(f"**Images:** {len(st.session_state.original_content['images'])} images found")
# Tab 2: Analyze & Research
with tab2:
st.header("Analyze & Research")
if not st.session_state.original_content or "title" not in st.session_state.original_content:
st.info("Please import your blog content first")
else:
col1, col2 = st.columns(2)
with col1:
if st.button("Analyze Content", type="primary"):
with st.spinner("Analyzing content..."):
# Analyze the content
st.session_state.content_analysis = st.session_state.blog_rewriter.analyze_content(
st.session_state.original_content
)
st.success("Content analysis complete!")
with col2:
research_depth = st.selectbox(
"Research Depth:",
["low", "medium", "high"],
index=1,
format_func=lambda x: {"low": "Basic", "medium": "Standard", "high": "Comprehensive"}[x],
help="Choose the depth of research to update your content"
)
if st.button("Conduct Research", type="primary"):
with st.spinner("Researching latest information..."):
# Conduct research
st.session_state.research_results = st.session_state.blog_rewriter.conduct_research(
st.session_state.original_content["title"],
st.session_state.original_content["content"],
research_depth
)
st.success("Research complete!")
# Display content analysis if available
if st.session_state.content_analysis:
st.subheader("Content Analysis")
metrics = st.session_state.content_analysis.get("metrics", {})
# Create metrics display
col1, col2, col3, col4 = st.columns(4)
with col1:
st.metric("Word Count", metrics.get("word_count", 0))
with col2:
st.metric("Paragraphs", metrics.get("paragraph_count", 0))
with col3:
st.metric("Sentences", metrics.get("sentence_count", 0))
with col4:
content_age = st.session_state.content_analysis.get("content_age", {})
if "months" in content_age:
st.metric("Content Age", f"{content_age['months']} months")
elif "error" in content_age:
st.metric("Content Age", "Unknown")
# Heading structure
heading_structure = st.session_state.content_analysis.get("heading_structure", {})
if heading_structure:
st.markdown("**Heading Structure:**")
for level, count in sorted(heading_structure.items()):
st.markdown(f"H{level}: {count} headings")
# Image analysis
images = st.session_state.content_analysis.get("images", {})
if images:
st.markdown(f"**Images:** {images.get('count', 0)} images found, {images.get('with_alt_text', 0)} with alt text")
# Display research results if available
if st.session_state.research_results:
st.subheader("Research Results")
topics = st.session_state.research_results.get("topics", [])
if topics:
for topic in topics:
with st.expander(f"Topic: {topic['topic']}", expanded=False):
for i, source in enumerate(topic.get("sources", [])):
st.markdown(f"**Source {i+1}:** {source.get('title', 'Untitled')}")
st.markdown(f"**URL:** {source.get('url', 'No URL')}")
st.markdown(f"**Content Preview:** {source.get('content', 'No content')[:200]}...")
st.markdown("---")
else:
st.info("No research results available")
# Enable proceeding to the next step if both analysis and research are done
if st.session_state.content_analysis and st.session_state.research_results:
if st.button("Proceed to Rewrite Settings", type="primary"):
st.session_state.current_step = 3
st.rerun()
# Tab 3: Rewrite Settings
with tab3:
st.header("Rewrite Settings")
if not st.session_state.original_content or "title" not in st.session_state.original_content:
st.info("Please import your blog content first")
elif not st.session_state.content_analysis or not st.session_state.research_results:
st.info("Please complete content analysis and research first")
else:
# Create a form for rewrite settings
with st.form("rewrite_settings_form"):
st.subheader("Content Transformation")
col1, col2 = st.columns(2)
with col1:
rewrite_mode = st.selectbox(
"Rewrite Mode:",
list(REWRITE_MODES.keys()),
format_func=lambda x: x.replace("_", " ").title(),
help="Choose how you want to transform your content"
)
st.info(REWRITE_MODES[rewrite_mode])
with col2:
tone = st.selectbox(
"Target Tone:",
TONE_OPTIONS,
index=0,
help="Choose the tone for your rewritten content"
)
st.subheader("Content Length")
original_word_count = st.session_state.content_analysis.get("metrics", {}).get("word_count", 0)
length_option = st.radio(
"Target Length:",
["same", "shorter", "longer", "custom"],
format_func=lambda x: {
"same": f"Same as original ({original_word_count} words)",
"shorter": f"Shorter (about {int(original_word_count * 0.7)} words)",
"longer": f"Longer (about {int(original_word_count * 1.3)} words)",
"custom": "Custom word count"
}[x],
horizontal=True
)
if length_option == "custom":
target_word_count = st.number_input(
"Custom Word Count:",
min_value=100,
max_value=10000,
value=original_word_count,
step=100
)
else:
target_word_count = {
"same": original_word_count,
"shorter": int(original_word_count * 0.7),
"longer": int(original_word_count * 1.3)
}[length_option]
st.subheader("SEO Optimization")
keywords = st.text_input(
"Focus Keywords (comma-separated):",
placeholder="e.g., digital marketing, SEO, content strategy",
help="Enter keywords to optimize your content for"
)
st.subheader("Additional Instructions")
special_instructions = st.text_area(
"Special Instructions (optional):",
placeholder="Add any specific instructions for rewriting your content...",
help="Provide any additional instructions for the AI"
)
# Submit button
submitted = st.form_submit_button("Rewrite Blog", type="primary")
if submitted:
# Process the form data
user_preferences = {
"rewrite_mode": rewrite_mode,
"tone": tone,
"target_word_count": target_word_count,
"keywords": [k.strip() for k in keywords.split(",")] if keywords else [],
"special_instructions": special_instructions
}
with st.spinner("Rewriting your blog..."):
# Rewrite the blog
st.session_state.rewritten_content = st.session_state.blog_rewriter.rewrite_blog(
st.session_state.original_content,
user_preferences,
st.session_state.research_results,
st.session_state.content_analysis
)
if "error" in st.session_state.rewritten_content:
st.error(f"Error rewriting blog: {st.session_state.rewritten_content['error']}")
else:
st.success("Blog rewritten successfully!")
st.session_state.current_step = 4
st.rerun()
# Tab 4: Results & Export
with tab4:
st.header("Results & Export")
if not st.session_state.rewritten_content or "title" not in st.session_state.rewritten_content:
st.info("Please complete the rewriting process first")
else:
# Display the rewritten content
st.subheader("Rewritten Blog")
# Title and meta description
st.markdown(f"## {st.session_state.rewritten_content['title']}")
if st.session_state.rewritten_content.get("meta_description"):
with st.expander("Meta Description", expanded=True):
st.text_area(
"",
st.session_state.rewritten_content["meta_description"],
height=80,
disabled=True
)
# Create tabs for different views
content_tab1, content_tab2 = st.tabs(["Preview", "Markdown"])
with content_tab1:
st.markdown(st.session_state.rewritten_content["content"])
with content_tab2:
st.text_area(
"",
st.session_state.rewritten_content["content"],
height=400
)
# Image generation section
st.subheader("Generate Images")
suggested_images = st.session_state.rewritten_content.get("suggested_images", [])
if suggested_images:
st.markdown("**Suggested Images:**")
for i, img in enumerate(suggested_images):
with st.expander(f"Image {i+1}: {img.get('description', 'No description')}", expanded=False):
st.markdown(f"**Description:** {img.get('description', 'No description')}")
st.markdown(f"**Caption:** {img.get('caption', 'No caption')}")
st.markdown(f"**Placement:** {img.get('placement', 'No placement specified')}")
# Generate image button
col1, col2 = st.columns([3, 1])
with col1:
image_prompt = st.text_area(
"Image Prompt:",
value=img.get('description', ''),
key=f"image_prompt_{i}"
)
with col2:
style = st.selectbox(
"Style:",
["realistic", "artistic", "cartoon", "3d_render"],
key=f"style_{i}"
)
if st.button("Generate Image", key=f"gen_img_{i}"):
with st.spinner("Generating image..."):
image_path = st.session_state.blog_rewriter.generate_image(image_prompt, style)
if image_path:
# Store the generated image
if "generated_images" not in st.session_state:
st.session_state.generated_images = {}
st.session_state.generated_images[f"image_{i}"] = {
"path": image_path,
"caption": img.get('caption', ''),
"placement": img.get('placement', '')
}
st.success("Image generated successfully!")
st.rerun()
# Display the generated image if available
if f"image_{i}" in st.session_state.generated_images:
st.image(
st.session_state.generated_images[f"image_{i}"]["path"],
caption=st.session_state.generated_images[f"image_{i}"]["caption"],
use_column_width=True
)
else:
st.info("No image suggestions available")
# Custom image generation
with st.expander("Generate Custom Image", expanded=True):
col1, col2 = st.columns([3, 1])
with col1:
custom_image_prompt = st.text_area(
"Image Prompt:",
placeholder="Describe the image you want to generate..."
)
with col2:
custom_style = st.selectbox(
"Style:",
["realistic", "artistic", "cartoon", "3d_render"]
)
if st.button("Generate Custom Image"):
if not custom_image_prompt:
st.error("Please enter an image prompt")
else:
with st.spinner("Generating image..."):
image_path = st.session_state.blog_rewriter.generate_image(custom_image_prompt, custom_style)
if image_path:
# Store the generated image
if "generated_images" not in st.session_state:
st.session_state.generated_images = {}
st.session_state.generated_images["custom_image"] = {
"path": image_path,
"caption": "Custom generated image",
"placement": "Custom placement"
}
st.success("Image generated successfully!")
st.rerun()
# Display the generated custom image if available
if "custom_image" in st.session_state.generated_images:
st.image(
st.session_state.generated_images["custom_image"]["path"],
caption=st.session_state.generated_images["custom_image"]["caption"],
use_column_width=True
)
# Export options
st.subheader("Export Options")
col1, col2, col3 = st.columns(3)
with col1:
st.download_button(
"Download as Markdown",
data=st.session_state.rewritten_content["content"],
file_name=f"{st.session_state.rewritten_content['title'].replace(' ', '_')}.md",
mime="text/markdown"
)
with col2:
# Create HTML version
html_content = f"""
{st.session_state.rewritten_content['title']}
{st.session_state.rewritten_content['title']}
{st.session_state.rewritten_content['content']}
"""
st.download_button(
"Download as HTML",
data=html_content,
file_name=f"{st.session_state.rewritten_content['title'].replace(' ', '_')}.html",
mime="text/html"
)
with col3:
# Create JSON version with all content and metadata
json_content = {
"title": st.session_state.rewritten_content["title"],
"meta_description": st.session_state.rewritten_content.get("meta_description", ""),
"content": st.session_state.rewritten_content["content"],
"suggested_images": st.session_state.rewritten_content.get("suggested_images", []),
"generated_images": [
{
"caption": img_data["caption"],
"placement": img_data["placement"],
"path": img_data["path"]
}
for img_key, img_data in st.session_state.generated_images.items()
] if hasattr(st.session_state, "generated_images") else [],
"original_title": st.session_state.original_content.get("title", ""),
"original_url": st.session_state.original_content.get("url", ""),
"rewrite_date": datetime.now().isoformat()
}
st.download_button(
"Download as JSON",
data=json.dumps(json_content, indent=2),
file_name=f"{st.session_state.rewritten_content['title'].replace(' ', '_')}.json",
mime="application/json"
)
# Copy to clipboard buttons
st.subheader("Quick Copy")
col1, col2, col3 = st.columns(3)
with col1:
if st.button("Copy Title", key="copy_title"):
st.code(st.session_state.rewritten_content["title"])
st.success("Title copied to clipboard!")
with col2:
if st.button("Copy Meta Description", key="copy_meta"):
st.code(st.session_state.rewritten_content.get("meta_description", ""))
st.success("Meta description copied to clipboard!")
with col3:
if st.button("Copy Full Content", key="copy_content"):
st.success("Content copied to clipboard!")
# Comparison with original
with st.expander("Compare with Original", expanded=False):
comp_col1, comp_col2 = st.columns(2)
with comp_col1:
st.subheader("Original")
st.markdown(f"**Title:** {st.session_state.original_content.get('title', '')}")
if st.session_state.original_content.get("meta_description"):
st.markdown(f"**Meta Description:** {st.session_state.original_content['meta_description']}")
st.text_area(
"Original Content",
st.session_state.original_content.get("content", ""),
height=300,
disabled=True
)
with comp_col2:
st.subheader("Rewritten")
st.markdown(f"**Title:** {st.session_state.rewritten_content['title']}")
if st.session_state.rewritten_content.get("meta_description"):
st.markdown(f"**Meta Description:** {st.session_state.rewritten_content['meta_description']}")
st.text_area(
"Rewritten Content",
st.session_state.rewritten_content["content"],
height=300,
disabled=True
)
# Start over button
if st.button("Start Over", type="primary"):
# Reset session state
for key in ["original_content", "content_analysis", "research_results",
"rewritten_content", "generated_images", "current_step"]:
if key in st.session_state:
del st.session_state[key]
st.rerun()
if __name__ == "__main__":
write_blog_rewriter()