New: AI SEO tools, Rich snippet, AI product description

lib/ai_seo_tools/twitter_opengraph_generator.py

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+import streamlit as st
+import openai
+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
+
+# Placeholder function for web scraping the URL (to be replaced with your mechanism)
+def scrape_webpage(url):
+    try:
+        response = requests.get(url)
+        response.raise_for_status()  # Raise an exception for bad status codes
+        soup = BeautifulSoup(response.content, 'html.parser')
+
+        # Extract the title
+        title = soup.find('title').text.strip() if soup.find('title') else None
+
+        # Extract the description 
+        description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else None
+
+        # Extract the image URL
+        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 e:
+        st.error(f"An error occurred while scraping the webpage: {e}")
+        return None, None, None 
+
+# Function to generate OpenGraph meta tags
+def generate_opengraph_meta_tags(url, html_content=None, title=None, description=None, image_url=None):
+    ai_prompt = f"""
+    Generate OpenGraph meta tags for a Twitter Card for the following webpage: {url}
+
+    Here is the HTML content of the page: 
+    ```html
+    {html_content}
+    ```
+
+    Optional Customizations:
+    * Title: {title if title else "Infer from the page content"}
+    * Description: {description if description else "Infer from the page content"}
+    * Image URL: {image_url if image_url else "Infer from the page content"}
+
+    Best practices:
+    - Title: Should be concise and informative.
+    - Description: Provide a brief summary of the content.
+    - Image URL: Use a high-quality image.
+    - URL: Ensure the URL is correct.
+    - Type: Specify the content type (e.g., article, website).
+    - Site Name: Provide the name of the site.
+
+    Output the generated OpenGraph meta tags as a series of HTML meta tags in the following format:
+
+    <meta property="og:title" content="Extracted or provided title" />
+    <meta property="og:description" content="Extracted or provided description" />
+    <meta property="og:image" content="Extracted or provided image URL" />
+    <meta property="og:url" content="{url}" />
+    <meta property="og:type" content="Infer from the URL" />
+    <meta property="og:site_name" content="Extract site name from the URL" />
+    """
+    
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=ai_prompt,
+        max_tokens=150
+    )
+    
+    return response.choices[0].text.strip()
+
+# Function to display the Streamlit UI
+def display_ui():
+    st.title('OpenGraph Meta Tags Generator for Twitter 🐦')
+    st.write('Generate OpenGraph meta tags for Twitter cards with ease. Just provide a URL and let our tool do the rest!')
+
+    # User inputs
+    url = st.text_input('Content URL', help="🔗 Paste the URL of the page you want to share on Twitter.", placeholder="e.g., https://example.com")
+    title = st.text_input('Title (optional)', help="📝 Optionally, provide a custom title for your Twitter card.", placeholder="e.g., Amazing Blog Post")
+    description = st.text_area('Description (optional)', help="✍️ Optionally, provide a custom description for your Twitter card.", placeholder="e.g., This blog post covers...")
+    image_url = st.text_input('Image URL (optional)', help="📸 Optionally, provide a URL to an image for your Twitter card.", placeholder="e.g., https://example.com/image.jpg")
+
+    if st.button('Generate Meta Tags'):
+        if url:
+            # Scrape the webpage for missing information if not provided
+            if not title or not description or not image_url:
+                scraped_title, scraped_description, scraped_image_url = scrape_webpage(url)
+                title = title or scraped_title
+                description = description or scraped_description
+                image_url = image_url or scraped_image_url
+            
+            # Fetch HTML content
+            html_content = requests.get(url).text
+
+            # Generate OpenGraph meta tags
+            meta_tags = generate_opengraph_meta_tags(url, html_content=html_content, title=title, description=description, image_url=image_url)
+            
+            st.subheader('Generated OpenGraph Meta Tags')
+            st.code(meta_tags, language='html')
+        else:
+            st.error('Please provide a content URL.')
+
+    # Instructions and preview
+    st.write('### Instructions')
+    st.write('1. Enter the URL of the content you want to share on Twitter.')
+    st.write('2. Optionally, provide a custom title, description, and image URL.')
+    st.write('3. Click "Generate Meta Tags" to see the generated OpenGraph meta tags.')
+
+    st.write('### Preview')
+    st.write('A preview of how the Twitter card will look with the generated meta tags will be shown here (Feature to be implemented).')
+
+# Run the Streamlit UI
+if __name__ == '__main__':
+    display_ui()