用python flask 框架搭建的一个chatgpt服务代码例子

运行中的网站例子：
用python flask 框架搭建的一个chatgpt服务例子：

from flask import Flask,request, abort
	import os
	import openai
	from pygments import highlight
	from pygments.lexers import guess_lexer
	from pygments.lexers import get_lexer_by_name
	from pygments.formatters import HtmlFormatter
	from pygments.lexers import TextLexer
	from pygments.lexers.html import HtmlLexer
	from pygments.lexers.markup import XmlLexer	
	app = Flask(__name__)
	@app.route('/chat', methods=['POST'])
	def chat():
	    openai.api_key = "you api_key"
        
    json_data = request.get_json()

    
    conversation = []  # 创建空列表
    conversation.append({"role": "system", "content": "You are a helpful assistant."})
    questions = json_data['myArray']  #获取页面提交的问题，页面用js把对话中的问题组成json数组，python中以list获取
    answers = json_data['assistant']    #组装gpt回复内容为list，也由js记录每次提交
    temperatures = 0.7   
    if 'temperatures' in json_data:
       if json_data['temperatures']=='适中':    
          temperatures = 0.7
       if json_data['temperatures']=='更有创造力':    
          temperatures = 1.4
       if json_data['temperatures']=='更精准':    
          temperatures = 0.2
    tokens = 1000
    if 'tokens' in json_data:
        tokens = int(json_data['tokens'])
        if tokens>4000:
            tokens =4000

    #会话深度控制为4次 
    if len(questions) > 4:
        questions = questions[-4:]
        answers = answers[-4:]
    
    if len(questions): 
        # 遍历数组并添加到对话列表中
        for i in range(len(questions)):
            conversation.append({"role": "user", "content": questions[i]})
            conversation.append({"role": "assistant", "content": answers[i]})
        conversation.append({"role": "user", "content": json_data['text']})
            
    else:
        conversation.append({"role": "user", "content": json_data['text']})
        
    try:
        
        
        response = openai.ChatCompletion.create(
          model="gpt-3.5-turbo",
          messages = conversation,
          temperature=temperatures,
          max_tokens=tokens,
        #   frequency_penalty=0.5,
        #   presence_penalty=0.5,
        #   top_p=0.9
        )
    except Exception as e:
        response = False
        if 'a deactivated account' in str(e):
             
              return {'error': '当前api key已经用完额度或者失效，可以通知管理员更新'}, 401
        return {'error': '出错了稍后重试'}, 401
    if response:
       
        code = response['choices'][0]['message']['content']
        assistant = code
        # 对文本进行语法高亮处理
        highlighted_code = ''
        for line in code.split('\n'):
    
            lexer = get_lexer_by_name('html', stripall=False)
    
            highlighted_line = highlight(line, lexer, HtmlFormatter())
            highlighted_code += highlighted_line
    
        response['choices'][0]['text'] = highlighted_code
        response['choices'][0]['assistant'] = assistant
        
        return response
	if __name__ == "__main__":
    app.run(port=要使用的端口, host="服务器ip地址", debug=True)