new message format2

app.py

@@ -25,7 +25,7 @@ def predict(message, history):
     # messages = "".join(["".join(["<|start_header_id|>user<|end_header_id|>\n"+item[0], 
     #                              "<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n"+item[1]])
     #             for item in history_transformer_format])
-    messages = [{"role": item[0], "user": item[1]} for item in history_transformer_format]
+    messages = [{"user": item[0], "content": item[1]} for item in history_transformer_format]
     print(messages)
 
     # model_inputs = tokenizer([messages], return_tensors="pt") # .to("cuda")