Update app.py

app.py

@@ -1,14 +1,14 @@
 import gradio as gr
 
-  # Alternatively, for multiple responses:
-  # chatbot_response1 = "First Gemma response."
-  # chatbot_response2 = "Second Gemma response."
-  # return [[chatbot_response1], [chatbot_response2]], history
+def predict(input, history=[]):
+  # ... (your predict function logic here)
+  return chatbot_response, history  # Replace with your actual return values
 
 # Create the Gradio interface
 interface = gr.Interface(
-    inputs=["textbox"],  # "state" input can be removed if not used
-    outputs=["chatbot"]  # Remove "state" output if history is not used
+    fn=predict,  # Pass the predict function here
+    inputs=["textbox", "state"],  # "state" input can be removed if not used
+    outputs=["chatbot", "state"]  # Remove "state" output if history is not used
 )
 
 # Load the model within the Gradio interface context
@@ -19,4 +19,3 @@ except Exception as e:
 
 # Launch the Gradio interface
 interface.launch()
-