ChatGpt的python调用并联系上下文回答和清空

import openai
import pyttsx3

openai.api_key = "sk-xxxxxxxxxxxxx"  # 你的 OpenAI API Key

class Chat:
    def __init__(self, conversation_list=None):
        if conversation_list is None:
            self.conversation_list = [{'role': 'system', 'content': '你是一个非常友善的助手'}]
        else:
            self.conversation_list = conversation_list

    def show_conversation(self, msg_list):
        for msg in msg_list:
            if msg['role'] == 'user':
                print(f"\U0001f47b: {msg['content']}\n")
            else:
                print(f"\U0001f47D: {msg['content']}\n")

    def ask(self, prompt):
        if prompt == '清空':
            self.conversation_list = [{'role': 'system', 'content': '已清空对话历史记录'}]
            return self.show_conversation(self.conversation_list)

        self.conversation_list.append({"role": "user", "content": prompt})
        response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=self.conversation_list)
        answer = response.choices[0].message['content']
        self.conversation_list.append({"role": "assistant", "content": answer})
        self.show_conversation(self.conversation_list)

        if answer is not None:
            engine = pyttsx3.init()
            engine.say(answer)
            engine.runAndWait()


chatbot = Chat()  # 创建一个Chat对象

while True:
    askmsg = input()  # 获取用户的输入
    answer = chatbot.ask(askmsg)  # 向Chatbot提问并显示对话历史记录