Update app.py

app.py

@@ -1,61 +1,22 @@
 import streamlit as st
 from geo_agent import scrape_website, run_agent_analysis
 
-# --- Streamlit UI Configuration ---
-st.set_page_config(
-    page_title="GEO Audit Agent",
-    page_icon=":robot_face:",
-    layout="centered",
-    initial_sidebar_state="expanded"
-)
+st.set_page_config(page_title="Generative Engine Optimization (GEO) Agent MVP")
+st.title("🌐 Generative Engine Optimization (GEO) Agent")
+st.markdown("Enter a **full URL** below to get a GEO Audit Score based on AI-readiness. The agent scrapes the content and uses GPT-4o-mini for analysis.")
 
-st.title(":mag: The GEO Audit Agent")
-st.markdown("Enter a website URL and its niche to get an in-depth, structured AI audit based on the content of the page.")
+url = st.text_input("Enter the full URL (e.g., https://example.com/blog-post):")
 
-# --- User Inputs ---
-website_niche = st.text_input(
-    "1. Enter the Website Niche (e.g., 'Luxury Travel Blog', 'DIY Home Repair'):",
-    placeholder="e.g., Fitness Supplements E-commerce"
-)
-
-url = st.text_input(
-    "2. Enter the Full URL (e.g., https://example.com/blog-post):",
-    placeholder="https://yourwebsite.com/page-to-analyze"
-)
-
-# --- Button and Logic ---
-if st.button("Run GEO Audit", type="primary"):
-    # Check if both fields are filled
-    if not url or not website_niche:
-        st.warning("Please enter both the website niche and the URL to run the audit.")
-    else:
-        # Core processing block
-        with st.spinner('Scraping content and running AI analysis...'):
-            # Step 1: Scrape the website content
-            analysis_data, full_content_string = scrape_website(url)
-
-            # Step 2: Handle errors from scraping (e.g., page not found)
-            if "Error" in analysis_data:
-                # The crucial part: THIS LINE MUST BE INDENTED under the if statement.
-                st.error(analysis_data["Error"])
-            else:
-                # Step 3: Run the AI analysis only if scraping was successful
-                try:
-                    ai_response = run_agent_analysis(url, analysis_data, full_content_string, website_niche)
-                    
-                    st.success(f"GEO Agent Audit Complete for: {url}")
-                    
-                    # Display the structured output in a code block for easy reading/copying
-                    st.code(ai_response, language="markdown")
-
-                except Exception as e:
-                    # Catch any errors that occur during the API call
-                    st.error(f"An error occurred during AI analysis: {e}")
-                    st.exception(e)
+if st.button("Run GEO Audit") and url:
+       with st.spinner('Scraping content and running AI analysis...'):
+      
+        analysis_data, full_content_string = scrape_website(url)
+        
+        if "Error" in analysis_data:
+            st.error(analysis_data["Error"])
+        else:
+            
+            ai_response = run_agent_analysis(url, analysis_data, full_content_string)
             
-st.sidebar.header("About This Agent")
-st.sidebar.info(
-    "This tool uses Python, Streamlit, and the Gemini API with Google Search grounding "
-    "to analyze the content of a public URL and provide a detailed SEO/content audit."
-)
-st.sidebar.caption("Ensure your API key is configured correctly in your environment.")
+            st.success(f"GEO Agent Audit Complete for: {url}")
+            st.code(ai_response, language='markdown') # Display the structured output