Update app.py

app.py

@@ -109,14 +109,28 @@ def predict(message, history):
     response_with_logo = f'<div class="response-with-logo">{logo_html}<div class="response-text">{response}</div></div>'
     return response_with_logo
 def save_chat_message(session_id, message_data):
-    ref = db.reference(f'/chat_history/{session_id}')  # Use the session ID to save chat data
-    ref.push().set(message_data)
+    # Reference based on sender's unique ID
+    sender_id = message_data['sender']
+    
+    # Define the structure of the message
+    message_entry = {
+        "Message": message_data['message'],
+        "Response": message_data['response'],
+        "Timestamp": message_data['timestamp']
+    }
+    
+    # Save data to Firebase using session ID and sender ID
+    ref = db.reference(f'/chat_history/{session_id}/{sender_id}')
+    
+    # Push the new message to the sender's chat history
+    ref.push().set(message_entry)
+
 
 # Define your Gradio chat interface function (replace with your actual logic)
 def chat_interface(message, history,request: gr.Request):
     try:
         # Generate a unique session ID for this chat session
-        session_id = str(request.client.host)
+        session_id = str(uuid.uuid4())
 
         # Process the user message and generate a response (your chatbot logic)
         response = handle_query(message)