Update app.py

app.py

@@ -11,6 +11,7 @@ model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
 def predict(message, history):
     history.append({"role": "user", "content": message})
     input_text = tokenizer.apply_chat_template(history, tokenize=False)
+    print(input_text)
     inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)  
     outputs = model.generate(inputs, max_new_tokens=100, temperature=0.7, top_p=0.9, do_sample=True)
     decoded = tokenizer.decode(outputs[0])