Django openai websocket live chat

This code works on openai==0.28

python 复制代码
## consumers.py
## consumers.py
import json
import os

from channels.generic.websocket import AsyncWebsocketConsumer
import openai
import asyncio
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'AutoServer.settings')
openai.api_key = settings.OPENAI_API_KEY


class ChatConsumer(AsyncWebsocketConsumer):
    async def connect(self):
        await self.accept()

    async def disconnect(self, close_code):
        pass

    async def receive(self, text_data):
        data = json.loads(text_data)
        prompt = data['prompt']

        loop = asyncio.get_event_loop()
        await loop.run_in_executor(None, self.stream_openai_response, prompt)

    def stream_openai_response(self, prompt):
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": prompt}],
            stream=True,
        )
        for chunk in response:
            if chunk.choices[0].delta.get('content'):
                asyncio.run(self.send_streaming_data(chunk.choices[0].delta['content']))
                ## return to the webpage as stream

    async def send_streaming_data(self, content):
        await self.send(text_data=json.dumps({
            'response': content
        }))

This works on newest version, 1.31

python 复制代码
import json
import openai
import asyncio
from channels.generic.websocket import AsyncWebsocketConsumer
from django.conf import settings
import os
from openai import OpenAI

os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'AutoServer.settings')
api_key = settings.OPENAI_API_KEY
client = OpenAI(api_key=api_key)
class ChatConsumer(AsyncWebsocketConsumer):
    async def connect(self):
        await self.accept()

    async def disconnect(self, close_code):
        pass

    async def receive(self, text_data):
        data = json.loads(text_data)
        prompt = data['prompt']
        # key part, the loop
        loop = asyncio.get_event_loop()
        await loop.run_in_executor(None, self.stream_openai_response, prompt)

    def stream_openai_response(self, prompt):
        response = client.chat.completions.create(
            model="gpt-4",
            messages=[
                {"role": "system", "content": "You are a helpful assistant."},
                {"role": "user", "content": prompt},
            ],
            stream=True,
        )
        for chunk in response:
            if chunk.choices[0].delta.content:
                asyncio.run(self.send_streaming_data(chunk.choices[0].delta.content))

    async def send_streaming_data(self, content):
        await self.send(text_data=json.dumps({
            'response': content
        }))
相关推荐
程序媛徐师姐1 分钟前
Python基于Django的小区果蔬预定系统【附源码、文档说明】
python·django·小区果蔬预定系统·果蔬预定·python小区果蔬预定系统·小区果蔬预定·python果蔬预定系统
小何code13 分钟前
人工智能【第8篇】监督学习实战:线性回归与逻辑回归算法详解(万字长文+完整代码实现)
人工智能·python·学习·机器学习·逻辑回归·线性回归
EnCi Zheng14 分钟前
M5-markconv自定义CSS样式指南 [特殊字符]
前端·css·python
刘~浪地球26 分钟前
DeepSeek V4 应用实战:构建智能数据分析Agent
python·数据挖掘·数据分析
嘻嘻哈哈樱桃33 分钟前
牛客经典101题解题集--贪心算法+模拟
java·python·算法·贪心算法
ai_coder_ai1 小时前
在自动化脚本中如何使用websocket?
websocket·autojs·自动化脚本·冰狐智能辅助·easyclick
BU摆烂会噶1 小时前
【LangGraph】持久化实现的三大能力——人机交互
数据库·人工智能·python·langchain·人机交互
.柒宇.2 小时前
AI掘金头条项目部署实践指南
linux·运维·python·fastapi
WL_Aurora2 小时前
Python 算法基础篇之树和二叉树
python·算法
小郑加油2 小时前
python学习Day11:认识与创建CSV文件
开发语言·python·学习