Update app.py

app.py

@@ -36,7 +36,6 @@ def predict(message, history):
     # Formatting the input for the model.
     system_prompt = "<|im_start|>system\nYou are Phixtral, a helpful AI assistant.<|im_end|>"
     messages = system_prompt + "".join(["".join(["\n<|im_start|>user\n" + item[0], "<|im_end|>\n<|im_start|>assistant\n" + item[1]]) for item in history_transformer_format])
-    print(messages)
     input_ids = tokenizer([messages], return_tensors="pt").to('cuda')
     streamer = TextIteratorStreamer(tokenizer, timeout=10., skip_prompt=True, skip_special_tokens=True)
     generate_kwargs = dict(