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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)) |