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New: AI SEO tools, OpenGraph Tags generator

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ajaysi
2024-08-09 16:17:09 +05:30
parent 4d887c87eb
commit 20bda6c964
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4
README.md
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@@ -1,11 +1,13 @@
# How to ALwrity - Getting Started
Alwrity assists content creators and digital marketers in keyword web research, AI website & Social media content generation & AI Copywriting.
Our toolkit integrates **(OpenAI, Gemini, Anthropic)** AI models for text generation, image creation **(Stability.ai), STT(whisper, AssemblyAI)** and Web or local data analysis, streamlining your content creation pipeline and ensuring high-quality output with minimal effort.
Our toolkit integrates **(OpenAI, Gemini, Anthropic)** AI models for text generation, image creation **(Stability.ai), STT(whisper, AssemblyAI)** and AI Web research **(Tavily AI, exa AI, Serper.dev)**, streamlining your content creation pipeline and ensuring high-quality output with minimal effort.
Prompting is abstracted to get going sooner. Focus on your content quality, rather than AI tooling around it.
Alwrity gives hyper content personalization, factual web researched & SEO optimized content and tools for automating content & digital marketing.
Alwrity, is a complete content life cycle platform with Content planning, Content Generation, Content publishing, Analytics & monitoring & more. AI SEO & marketing tools will help reach wider audience. Its in active development with many bridges to cross.
AI will help achieve Content Hyper-Personalization.
![](https://github.com/AJaySi/AI-Writer/blob/main/lib/workspace/keyword_blog.gif)
---

116
lib/ai_seo_tools/opengraph_generator.py Normal file
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import streamlit as st
import os
import requests
from bs4 import BeautifulSoup
from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
def generate_og_tags(url, title_hint, description_hint, platform="General"):
"""
Generate Open Graph tags based on the provided URL, title hint, description hint, and platform.
Args:
url (str): The URL of the webpage.
title_hint (str): A hint for the title.
description_hint (str): A hint for the description.
platform (str): The platform for which to generate the tags (General, Facebook, or Twitter).
Returns:
str: The generated Open Graph tags or an error message.
"""
prompt = (
f"Generate Open Graph tags for the following page:\nURL: {url}\n"
f"Title hint: {title_hint}\nDescription hint: {description_hint}"
)
if platform == "Facebook":
prompt += "\nSpecifically for Facebook"
elif platform == "Twitter":
prompt += "\nSpecifically for Twitter"
try:
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Failed to generate Open Graph tags: {err}")
return None
def extract_default_og_tags(url):
"""
Extract default Open Graph tags from the provided URL.
Args:
url (str): The URL of the webpage.
Returns:
tuple: A tuple containing the title, description, and image URL, or None in case of an error.
"""
try:
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
title = soup.find('title').text if soup.find('title') else None
description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else None
image_url = soup.find('meta', attrs={'property': 'og:image'})['content'] if soup.find('meta', attrs={'property': 'og:image'}) else None
return title, description, image_url
except requests.exceptions.RequestException as req_err:
st.error(f"Error fetching the URL: {req_err}")
return None, None, None
except Exception as err:
st.error(f"Error parsing the HTML content: {err}")
return None, None, None
def og_tag_generator():
"""Main function to run the Streamlit app."""
st.title("AI Open Graph Tag Generator")
platform = st.selectbox(
"**Select the platform**",
["General", "Facebook", "Twitter"],
help="Choose the platform for which you want to generate Open Graph tags."
)
url = st.text_input(
"**Enter the URL of the page to generate Opengraph tags for:**",
placeholder="e.g., https://example.com",
help="Provide the URL of the page you want to generate Open Graph tags for."
)
if url:
title, description, image_url = extract_default_og_tags(url)
# Use firecrawl to get the metadata of webpage.
#existing_metadata = scrape_url(url)
title_hint = st.text_input(
"**Modify existing title Or Suggest New One (optional):**",
value=title if title else "",
placeholder="e.g., Amazing Blog Post Title"
)
description_hint = st.text_area(
"**Modifying existing description Or Suggest New One (optional):**",
value=description if description else "",
placeholder="e.g., This is a detailed description of the content."
)
image_hint = st.text_input(
"**Use this image Or Suggest New URL (optional):**",
value=image_url if image_url else "",
placeholder="e.g., https://example.com/image.jpg"
)
if st.button("Generate Open Graph Tags"):
with st.spinner("Generating Open Graph tags..."):
og_tags = generate_og_tags(url, title_hint, description_hint, platform)
if og_tags:
st.success("Open Graph tags generated successfully!")
st.markdown(og_tags)
else:
st.error("Failed to generate Open Graph tags.")
else:
st.info("Please enter a URL to generate Open Graph tags.")

5
lib/ai_seo_tools/twitter_opengraph_generator.py
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@@ -4,8 +4,9 @@ from bs4 import BeautifulSoup
import requests
import os
# Set up OpenAI API key
openai.api_key = os.getenv('OPENAI_API_KEY') # Assuming you have it in a .env file
from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
# Placeholder function for web scraping the URL (to be replaced with your mechanism)
def scrape_webpage(url):

13
lib/ai_web_researcher/firecrawl_web_crawler.py
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@@ -61,13 +61,14 @@ def scrape_url(url):
dict: The result of the URL scraping, or None if an error occurred.
"""
client = initialize_client()
params = {
'pageOptions': {
'onlyMainContent': True
}
}
#params = {
#'pageOptions': {
# 'onlyMainContent': True
# }
#}
try:
result = client.scrape_url(url, params=params)
#result = client.scrape_url(url, params=params)
result = client.scrape_url(url)
return result
except Exception as e:
logging.error(f"Error scraping URL: {e}")

5
lib/utils/alwrity_utils.py
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@@ -42,6 +42,7 @@ from lib.ai_seo_tools.seo_structured_data import ai_structured_data
from lib.ai_seo_tools.content_title_generator import ai_title_generator
from lib.ai_seo_tools.meta_desc_generator import metadesc_generator_main
from lib.ai_seo_tools.image_alt_text_generator import alt_text_gen
from lib.ai_seo_tools.opengraph_generator import og_tag_generator
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_planner
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
@@ -126,7 +127,7 @@ def ai_seo_tools():
"Generate SEO optimized Blog Titles",
"Generate Meta Description for SEO",
"Generate Image Alt Text",
"Quit"
"Generate OpenGraph Tags"
]
choice = st.selectbox("**👇Select AI SEO Tool:**", options, index=0, format_func=lambda x: f"📝 {x}")
@@ -138,6 +139,8 @@ def ai_seo_tools():
ai_title_generator()
elif choice == "Generate Image Alt Text":
alt_text_gen()
elif choice == "Generate OpenGraph Tags":
og_tag_generator()