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
a20063801216 分钟前
ply(python版本的flex/bison or Lex/Yacc)
python
wokaoyan198122 分钟前
逻辑推演题——谁是骗子
python
九年义务漏网鲨鱼23 分钟前
利用AI大模型重构陈旧代码库 (Refactoring Legacy Codebase with AI)
python
滑水滑成滑头35 分钟前
**标题:发散创新:智能交通系统的深度探究与实现**摘要:本文将详细
java·人工智能·python
闭着眼睛学算法1 小时前
【双机位A卷】华为OD笔试之【哈希表】双机位A-跳房子I【Py/Java/C++/C/JS/Go六种语言】【欧弟算法】全网注释最详细分类最全的华子OD真题题解
java·c语言·c++·python·算法·华为od·散列表
无限码力1 小时前
华为OD技术面真题 - Python开发 - 2
python·华为od·华为od技术面真题·华为od技术面八股·华为od技术面python八股·华为od面试python真题·华为odpython八股
九皇叔叔2 小时前
Java循环结构全解析:从基础用法到性能优化(含经典案例)
java·开发语言·python
chxin140162 小时前
优化算法——动手学深度学习11
pytorch·python·深度学习
闲人编程3 小时前
使用Python操作你的手机(Appium入门)
python·智能手机·appium·自动化·codecapsule·处理弹窗
汤姆yu3 小时前
基于python大数据深度学习的酒店评论文本情感分析
开发语言·python·深度学习