Update app.py

app.py

@@ -8,13 +8,9 @@ from langchain_core.messages import HumanMessage
 import os
 import re
 
-# --- Configuration ---
-# We no longer initialize the LLM here. We will do it on-demand.
-
-# --- Core Scraping & Analysis Functions (Unchanged) ---
-
+# All the function definitions are correct and do not need to change.
+# ... (fetch_html, analyze_onpage_seo, analyze_tech_stack, generate_ai_summary) ...
 def fetch_html(url):
-    """Fetches HTML content from a URL with a browser-like user-agent."""
     try:
         headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
         response = requests.get(url, headers=headers, timeout=10)
@@ -25,7 +21,6 @@ def fetch_html(url):
         return None
 
 def analyze_onpage_seo(soup):
-    """Analyzes the on-page SEO elements of a webpage."""
     title = soup.find('title').get_text(strip=True) if soup.find('title') else "N/A"
     description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else "N/A"
     headings = {'h1': [], 'h2': [], 'h3': []}
@@ -36,7 +31,6 @@ def analyze_onpage_seo(soup):
     return {"title": title, "description": description, "headings": headings, "word_count": word_count}
 
 def analyze_tech_stack(soup, html):
-    """Performs a very basic tech stack analysis."""
     tech = set()
     if "react.js" in html or 'data-reactroot' in html: tech.add("React")
     if "vue.js" in html: tech.add("Vue.js")
@@ -47,34 +41,21 @@ def analyze_tech_stack(soup, html):
     if soup.find('link', href=lambda x: x and 'tailwind' in x): tech.add("Tailwind CSS")
     return list(tech) if tech else ["Basic HTML/CSS"]
 
-# --- AI Summary Generation (Now with Robust Initialization) ---
-
 def generate_ai_summary(url, seo_data, tech_data):
-    """Generates a high-level strategic summary using an LLM."""
-    
-    # ** THE FIX: Lazy Initialization **
-    # We initialize the LLM inside the function, only when it's needed.
     api_key = os.environ.get("GEMINI_API_KEY")
-    
-    # Provide a clear error message if the key is missing.
     if not api_key:
         return "ERROR: `GEMINI_API_KEY` is not set in the Space secrets. The AI summary cannot be generated. Please ask the Space owner to add it."
-
     try:
         llm = ChatGoogleGenerativeAI(model="gemini-1.5-flash", google_api_key=api_key)
-        
         prompt = f"""
         You are a world-class marketing strategist. Analyze the following data for the website {url} and provide a concise, actionable summary.
-
         ## On-Page SEO Analysis:
         - **Title:** {seo_data['title']}
         - **Meta Description:** {seo_data['description']}
         - **H1 Headings:** {', '.join(seo_data['headings']['h1'])}
         - **Page Word Count:** {seo_data['word_count']}
-
         ## Technology Stack:
         - {', '.join(tech_data)}
-
         ## Your Analysis:
         Provide a 3-bullet point summary covering:
         1.  **Their Primary Goal:** What is this page trying to achieve based on its language and structure?
@@ -84,32 +65,22 @@ def generate_ai_summary(url, seo_data, tech_data):
         response = llm.invoke([HumanMessage(content=prompt)])
         return response.content
     except Exception as e:
-        # Provide a more specific error if the API call itself fails
         return f"Could not generate AI summary. The API call failed: {e}"
 
-# --- The Main Orchestrator (Unchanged) ---
-
 def competitor_teardown(url):
-    """The main function that runs the entire analysis pipeline."""
     if not url.startswith(('http://', 'https://')):
         url = 'https://' + url
-    
     yield "Fetching website...", None, None, None, None, gr.Button("Analyzing...", interactive=False)
-    
     html = fetch_html(url)
     if not html:
         yield "Failed to fetch URL. Please check the address and try again.", None, None, None, None, gr.Button("Analyze", interactive=True)
         return
-
     soup = BeautifulSoup(html, 'html.parser')
-    
     yield "Analyzing SEO & Tech...", None, None, None, None, gr.Button("Analyzing...", interactive=False)
     seo_data = analyze_onpage_seo(soup)
     tech_data = analyze_tech_stack(soup, html)
-    
     yield "Generating AI Summary...", None, None, None, None, gr.Button("Analyzing...", interactive=False)
     ai_summary = generate_ai_summary(url, seo_data, tech_data)
-
     seo_md = f"""
     ### 👑 SEO & Content
     | Metric | Value |
@@ -117,25 +88,20 @@ def competitor_teardown(url):
     | **Page Title** | `{seo_data['title']}` |
     | **Meta Description** | `{seo_data['description']}` |
     | **Word Count** | `{seo_data['word_count']}` |
-    
     #### Heading Structure:
     - **H1 Tags ({len(seo_data['headings']['h1'])}):** {', '.join(f'`{h}`' for h in seo_data['headings']['h1'])}
     - **H2 Tags ({len(seo_data['headings']['h2'])}):** {len(seo_data['headings']['h2'])} found
     """
-    
     tech_md = "### stack Tech Stack\n\n" + "\n".join([f"- `{t}`" for t in tech_data])
-    
     yield ai_summary, seo_md, tech_md, "Analysis Complete", "More features coming soon!", gr.Button("Analyze", interactive=True)
 
-# --- Gradio UI (Unchanged) ---
+# --- Gradio UI Definition (Unchanged) ---
 with gr.Blocks(theme=gr.themes.Soft(), css="footer {display: none !important;}") as demo:
     gr.Markdown("# 🕵️ Gumbo Board: The Instant Competitor Teardown")
     gr.Markdown("Enter a competitor's website to get an instant analysis of their online strategy. *Powered by Gumbo (BeautifulSoup) & AI.*")
-
     with gr.Row():
         url_input = gr.Textbox(label="Enter Competitor URL", placeholder="e.g., notion.so or mailchimp.com", scale=4)
         submit_btn = gr.Button("Analyze", variant="primary", scale=1)
-
     with gr.Tabs():
         with gr.TabItem("🧠 AI Summary"):
             summary_output = gr.Markdown("Your AI-powered strategic summary will appear here.")
@@ -147,14 +113,16 @@ with gr.Blocks(theme=gr.themes.Soft(), css="footer {display: none !important;}")
             ads_output = gr.Markdown()
         with gr.TabItem("Social Presence (Coming Soon)"):
             social_output = gr.Markdown()
-
     submit_btn.click(
         fn=competitor_teardown,
         inputs=[url_input],
         outputs=[summary_output, seo_output, tech_output, ads_output, social_output, submit_btn]
     )
-    
     gr.Markdown("---")
     gr.Markdown("### Ready for More? \n Get unlimited reports, save projects, and export to PDF with our Pro plan. \n **[🚀 Launching Soon - Sign up on Gumroad!](https://gumroad.com/)**")
 
-demo.launch()
+# --- THE FIX: Launch the app within a main block ---
+# This tells the Python interpreter that this is the main program to run
+# and it should wait here, keeping the server alive.
+if __name__ == "__main__":
+    demo.launch()