Update pages/linkedin_extractor.py

pages/linkedin_extractor.py

@@ -102,7 +102,8 @@ This appears to be a professional developer/engineer who:
 - Works on projects like University Information systems and LinkedIn data analysis"""
         
         else:
-            return f"""**🤖 Analysis Response:**
+            # FIXED: Properly formatted string without syntax errors
+            response_text = f"""**🤖 Analysis Response:**
 
 I've analyzed this LinkedIn post for you.
 
@@ -117,6 +118,8 @@ This appears to be a post where the author is sharing their GitHub profile and s
 - "Tell me about the GitHub profile"
 - "What is the main purpose of this post?"
 - "What skills does the author have?""""
+            
+            return response_text
 
     except Exception as e:
         return f"❌ Analysis error: {str(e)}"
@@ -208,7 +211,7 @@ def display_metrics(extracted_data):
 def main():
     st.title("💼 LinkedIn AI Analyzer")
     
-    # Initialize session state - CRITICAL FIX
+    # Initialize session state
     if "extracted_data" not in st.session_state:
         st.session_state.extracted_data = None
     if "chat_history" not in st.session_state:
@@ -267,8 +270,8 @@ def main():
                     if extracted_data.get("status") == "success":
                         st.session_state.extracted_data = extracted_data
                         st.session_state.current_url = url_to_use
-                        st.session_state.chat_history = []  # Clear previous chat
-                        st.session_state.last_user_input = ""  # Reset last input
+                        st.session_state.chat_history = []
+                        st.session_state.last_user_input = ""
                         st.success("✅ Data extracted successfully!")
                         st.balloons()
                     else:
@@ -347,7 +350,7 @@ def main():
     if has_data:
         st.success("💬 Chat ready! Ask questions about the LinkedIn data below.")
         
-        # Display chat history - ONLY ONCE
+        # Display chat history
         for chat in st.session_state.chat_history:
             if chat["role"] == "user":
                 with st.chat_message("user"):
@@ -372,26 +375,21 @@ def main():
                     if st.button(suggestion, key=f"sugg_{i}", use_container_width=True):
                         st.info(f"💡 Type: '{suggestion}' in the chat below")
 
-    # CHAT INPUT - WITH DUPLICATION PROTECTION
+    # CHAT INPUT
     if has_data:
         user_input = st.chat_input("Type your question about the LinkedIn data here...")
         
         if user_input and user_input != st.session_state.last_user_input:
-            # Store the current input to prevent duplication
             st.session_state.last_user_input = user_input
-            
-            # Add user message
             st.session_state.chat_history.append({"role": "user", "content": user_input})
             
-            # Generate and add AI response
             with st.spinner("🤔 Analyzing..."):
                 response = enhanced_chat_analysis(user_input, st.session_state.extracted_data)
                 st.session_state.chat_history.append({"role": "assistant", "content": response})
             
-            # Force rerun to show updated chat
             st.rerun()
 
-    # Features section at bottom
+    # Features section
     st.markdown("---")
     st.markdown("### 🚀 Features")