修正role

basic_demo/trans_web_demo.py

@@ -6,12 +6,12 @@ allowing users to interact with the model through a chat-like interface.
 """
 
 import os
+from pathlib import Path
+from threading import Thread
+from typing import Union
+
 import gradio as gr
 import torch
-from threading import Thread
-
-from typing import Union
-from pathlib import Path
 from peft import AutoPeftModelForCausalLM, PeftModelForCausalLM
 from transformers import (
     AutoModelForCausalLM,
@@ -99,10 +99,11 @@ def parse_text(text):
     return text
 
 
-
+def predict(history, prompt, max_length, top_p, temperature):
-def predict(history, max_length, top_p, temperature):
     stop = StopOnTokens()
     messages = []
+    if prompt:
+        messages.append({"role": "system", "content": prompt})
     for idx, (user_msg, model_msg) in enumerate(history):
         if idx == len(history) - 1 and not model_msg:
             messages.append({"role": "user", "content": user_msg})
@@ -160,29 +161,16 @@ with gr.Blocks() as demo:
         return "", history + [[parse_text(query), ""]]
 
 
-    def set_prompt(prompt_text, history):
+    def set_prompt(prompt_text):
-        """
+        return [[parse_text(prompt_text), "成功设置prompt"]]
-        Sets the initial prompt for the chat session.
-
-        Parameters:
-        - prompt_text (str): The text of the prompt from the prompt textbox.
-        - history (list): Current chat history.
-
-        Returns:
-        - list: Updated chat history with the new prompt at the beginning.
-        """
-        # Clear any existing history and add the prompt as the first message
-        return [[parse_text(prompt_text), ""]]
 
 
-    # Connect the 'Set Prompt' button click event to the 'set_prompt' function
+    pBtn.click(set_prompt, inputs=[prompt_input], outputs=chatbot)
-    pBtn.click(set_prompt, inputs=[prompt_input, chatbot], outputs=chatbot)
 
-    pBtn.click()
     submitBtn.click(user, [user_input, chatbot], [user_input, chatbot], queue=False).then(
-        predict, [chatbot, max_length, top_p, temperature], chatbot
+        predict, [chatbot, prompt_input, max_length, top_p, temperature], chatbot
     )
-    emptyBtn.click(lambda: None, None, chatbot, queue=False)
+    emptyBtn.click(lambda: (None, None), None, [chatbot, prompt_input], queue=False)
 
 demo.queue()
-demo.launch(server_name="127.0.0.1", server_port=8002, inbrowser=True, share=True)
+demo.launch(server_name="127.0.0.1", server_port=8000, inbrowser=True, share=True)