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import gradio as gr
import os
from datetime import datetime
from ModelMerge.utils import prompt
from ModelMerge.models import chatgpt
LANGUAGE = os.environ.get('LANGUAGE', 'Simplified Chinese')
GPT_ENGINE = os.environ.get('GPT_ENGINE', 'gpt-4-turbo-2024-04-09')
API = os.environ.get('API', None)
Current_Date = datetime.now().strftime("%Y-%m-%d")
systemprompt = os.environ.get('SYSTEMPROMPT', prompt.system_prompt.format(LANGUAGE, Current_Date))
chatgptbot = chatgpt(api_key=f"{API}", engine=GPT_ENGINE, system_prompt=systemprompt)
with gr.Blocks(fill_height=True) as demo:
with gr.Column():
chatbot = gr.Chatbot(show_label=False, elem_id="chatbox", scale=10, height=900) # 设置聊天框高度
with gr.Row():
msg = gr.Textbox(placeholder="输入你的问题...", elem_id="inputbox", scale=10)
clear = gr.Button("清除", elem_id="clearbutton")
# 用户输入处理函数,记录用户的问题
def user(user_message, history):
return "", history + [[user_message, None]]
# 机器人回答函数,根据用户的问题生成回答
def bot(history):
print(history)
user_message = history[-1][0]
history[-1][1] = ""
answer = ""
for text in chatgptbot.ask_stream(user_message):
print(text, end="")
if "🌐" in text:
history[-1][1] = text
else:
answer += text
history[-1][1] = answer
yield history
# 提交用户消息和处理回答
msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
bot, chatbot, chatbot
)
# 清除聊天记录
clear.click(lambda: None, None, chatbot, queue=False)
demo.launch() |