Update app.py

app.py

@@ -509,7 +509,6 @@ def page2():
 
 def page3():
     try:
-        # Style adjustments for the Streamlit page
         st.markdown("""
             <style>
             #MainMenu {visibility: hidden;}
@@ -517,7 +516,6 @@ def page3():
             </style>
             """, unsafe_allow_html=True)
     
-        # Layout configuration
         col1, col2 = st.columns([3, 1])
         with col1:
             st.title("Kosten- und Strukturdaten der Krankenhäuser")
@@ -527,40 +525,36 @@ def page3():
                 image = Image.open(image_path)
                 st.image(image, use_column_width='always')
 
-        # Display existing chat history
-        display_chat_history(st.session_state['chat_history_page3'])
+        display_chat_history(st.session_state.get('chat_history_page3', []))
 
-        # Input for new user query
         query = st.text_input("Geben Sie hier Ihre Frage ein / Enter your question here:")
 
         if query:
-            # Convert the query text to a vector
             query_vector = text_to_vector(query)
+            # Ensure the vector is in the correct format for Pinecone
+            query_vector = query_vector.tolist() if isinstance(query_vector, np.ndarray) else query_vector
+            
+            # Query the Pinecone index
+            results = pc.query(index=index_name, vector=query_vector, top_k=5)
 
-            # Query the Pinecone index with the vector
-            matches = index.query(queries=[query_vector], top_k=5)["matches"][0]
-
-            # Display the results and update chat history
-            for match in matches:
-                matched_text = match["metadata"].get("summary", "Detailed information not available.")
-                similarity_score = match["score"]
-                response_message = f"Matched Text: {matched_text} - Score: {similarity_score:.2f}"
-                st.write(response_message)
-                # Append the response to the chat history
-                st.session_state['chat_history_page3'].append(("Eve", response_message))
+            # Process and display results
+            for result in results['matches']:
+                matched_id = result['id']
+                score = result['score']
+                # Assuming you have metadata to display, adjust as necessary
+                st.write(f"Matched ID: {matched_id}, Score: {score}")
 
-            # Append the user query to the chat history
+            # Update chat history
             st.session_state['chat_history_page3'].append(("User", query))
+            for result in results['matches']:
+                st.session_state['chat_history_page3'].append(("Result", f"Matched ID: {result['id']}, Score: {result['score']}"))
 
-            # Save the updated chat history to a session or external storage as needed
-            # This is a placeholder for where you might save the chat history
-            # save_conversation(st.session_state['chat_history_page3'], st.session_state['session_id'])
+            # Save the updated chat history
+            save_conversation(st.session_state['chat_history_page3'], st.session_state['session_id'])
 
     except Exception as e:
         st.error(f"An unexpected error occurred: {e}")
 
-    
-
 
 def page4():
     try: