Update app.py

app.py

@@ -93,7 +93,7 @@ def handle_query(query):
 print("Processing PDF ingestion from directory:", PDF_DIRECTORY)
 data_ingestion_from_directory()
 
-def predict(message, history,req):
+def predict(message, req):
     logo_html = '''
     <div class="circle-logo">
       <img src="https://rb.gy/8r06eg" alt="FernAi">
@@ -101,7 +101,7 @@ def predict(message, history,req):
     '''
     # Use the gradio_client API to process the chat history and IP address
     response = client.predict(
-        ip_address=str(req),  # Replace with actual IP address handling if needed
+        ip_address=req.client.host,  # Extract IP address from request
         chat_history=message,
         api_name="/predict"
     )
@@ -109,13 +109,10 @@ def predict(message, history,req):
     return response_with_logo
 
 # Define your Gradio chat interface function (replace with your actual logic)
-def chat_interface(message, history,request: gr.Request):
+def chat_interface(message, history, request: gr.Request):
     try:
-        # Generate a unique session ID for this chat session
-        session_id = str(uuid.uuid4())
-        req=request.client.host
         # Process the user message and generate a response
-        response = predict(message, history,req)
+        response = predict(message, request)
 
         # Capture the message data
         message_data = {