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import os | |
import openai | |
import gradio as gr | |
OPENAI_API_KEY=os.getenv('OPENAI_API_KEY') | |
USER=os.getenv('USER') | |
PASS=os.getenv('PASS') | |
prompt = "您是回答所有用户查询的得力助手,任何问题请用中文回答" | |
def predict(message, history): | |
history_openai_format = [] | |
for human, assistant in history: | |
history_openai_format.append({"role": "system", "content": prompt }) | |
history_openai_format.append({"role": "user", "content": human }) | |
history_openai_format.append({"role": "assistant", "content":assistant}) | |
history_openai_format.append({"role": "user", "content": message}) | |
response = openai.ChatCompletion.create( | |
model='gpt-3.5-turbo', | |
messages= history_openai_format, | |
temperature=1.0, | |
stream=True | |
) | |
partial_message = "" | |
for chunk in response: | |
if len(chunk['choices'][0]['delta']) != 0: | |
partial_message = partial_message + chunk['choices'][0]['delta']['content'] | |
yield partial_message | |
gr.ChatInterface(predict, | |
textbox=gr.Textbox(placeholder="请输入您的问题", container=False, scale=7), | |
title="欢迎使用AI机器人", | |
examples=["你是谁?", "请用python写一个希尔排序", "请用关于春天写一首100字的诗","数学题:小红有3元钱,小红买了2斤香蕉,香蕉的价格是每斤1元。问小红一共花了多少钱?","请用表格做一份学生课程表"], | |
description="🦊请避免输入有违公序良俗的问题,模型可能无法回答不合适的问题🐇",).queue().launch(auth=(USER, PASS)) |