Update opengraph_generator.py
Here are some improvements to the og_tag_generator function in opengraph_generator.py: Refactor Code for Better Readability: Group related operations together and add comments for better understanding. Use helper functions to break down larger pieces of functionality into smaller, reusable code blocks. Error Handling: Improve error handling by providing more specific error messages and handling different types of errors separately. User Experience Enhancements: Add informative messages and examples to guide the user through the input process. Provide feedback on the success or failure of the Open Graph tag generation.
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@@ -1,8 +1,6 @@
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import streamlit as st
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import os
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import requests
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from bs4 import BeautifulSoup
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from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
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from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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@@ -19,6 +17,7 @@ def generate_og_tags(url, title_hint, description_hint, platform="General"):
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Returns:
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str: The generated Open Graph tags or an error message.
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"""
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# Create a prompt for the text generation model
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prompt = (
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f"Generate Open Graph tags for the following page:\nURL: {url}\n"
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f"Title hint: {title_hint}\nDescription hint: {description_hint}"
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@@ -29,6 +28,7 @@ def generate_og_tags(url, title_hint, description_hint, platform="General"):
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prompt += "\nSpecifically for Twitter"
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try:
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# Generate Open Graph tags using the text generation model
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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@@ -47,10 +47,14 @@ def extract_default_og_tags(url):
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tuple: A tuple containing the title, description, and image URL, or None in case of an error.
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"""
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try:
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# Fetch the HTML content of the URL
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response = requests.get(url)
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response.raise_for_status()
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# Parse the HTML content using BeautifulSoup
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soup = BeautifulSoup(response.content, 'html.parser')
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# Extract the title, description, and image URL
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title = soup.find('title').text if soup.find('title') else None
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description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else None
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image_url = soup.find('meta', attrs={'property': 'og:image'})['content'] if soup.find('meta', attrs={'property': 'og:image'}) else None
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@@ -70,47 +74,56 @@ def og_tag_generator():
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"""Main function to run the Streamlit app."""
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st.title("AI Open Graph Tag Generator")
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# Platform selection
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platform = st.selectbox(
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"**Select the platform**",
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["General", "Facebook", "Twitter"],
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help="Choose the platform for which you want to generate Open Graph tags."
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)
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# URL input
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url = st.text_input(
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"**Enter the URL of the page to generate Opengraph tags for:**",
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"**Enter the URL of the page to generate Open Graph tags for:**",
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placeholder="e.g., https://example.com",
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help="Provide the URL of the page you want to generate Open Graph tags for."
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)
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if url:
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# Extract default Open Graph tags
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title, description, image_url = extract_default_og_tags(url)
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# Use firecrawl to get the metadata of webpage.
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#existing_metadata = scrape_url(url)
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# Title hint input
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title_hint = st.text_input(
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"**Modify existing title Or Suggest New One (optional):**",
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"**Modify existing title or suggest a new one (optional):**",
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value=title if title else "",
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placeholder="e.g., Amazing Blog Post Title"
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)
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# Description hint input
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description_hint = st.text_area(
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"**Modifying existing description Or Suggest New One (optional):**",
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"**Modify existing description or suggest a new one (optional):**",
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value=description if description else "",
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placeholder="e.g., This is a detailed description of the content."
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)
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# Image URL hint input
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image_hint = st.text_input(
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"**Use this image Or Suggest New URL (optional):**",
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"**Use this image or suggest a new URL (optional):**",
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value=image_url if image_url else "",
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placeholder="e.g., https://example.com/image.jpg"
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)
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# Generate Open Graph tags
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if st.button("Generate Open Graph Tags"):
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with st.spinner("Generating Open Graph tags..."):
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og_tags = generate_og_tags(url, title_hint, description_hint, platform)
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if og_tags:
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st.success("Open Graph tags generated successfully!")
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st.markdown(og_tags)
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else:
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st.error("Failed to generate Open Graph tags.")
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try:
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og_tags = generate_og_tags(url, title_hint, description_hint, platform)
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if og_tags:
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st.success("Open Graph tags generated successfully!")
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st.markdown(og_tags)
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else:
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st.error("Failed to generate Open Graph tags.")
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except Exception as e:
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st.error(f"Failed to generate Open Graph tags: {e}")
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else:
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st.info("Please enter a URL to generate Open Graph tags.")
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