Update app.py

app.py

@@ -36,13 +36,10 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 # Define prompt structure (update if necessary for your model)
 alpaca_prompt = "{instruction} {input} {output}"
 
-instruction = "Chat with me like Chandler"
-
-
 @spaces.GPU  # Use GPU provided by Hugging Face Spaces if available
 def generate_response(user_input, chat_history):
-    instruction = instruction  # Treats user input as the instruction
-    input_text = user_input  # Any additional input if needed; leave blank otherwise
+    instruction = "Chat with me like Chandler talks."  
+    input_text = user_input  # Treats user input as the input
 
     # Prepare inputs for model inference on the correct device
     inputs = tokenizer(