Using React and Node JS to Stream OpenAI Chat Completions

Posted by

Alfalfa

–

December 7, 2023

Streaming OpenAI Chat Completions Using React and Node JS

OpenAI’s GPT-3 has revolutionized the way we interact with chatbots and conversational AI. With its ability to generate human-like responses, it has become a valuable tool for creating chat applications and virtual assistants. In this article, we will explore how to stream chat completions from OpenAI using React and Node JS.

Setting up the Node JS Server

First, we need to set up a Node JS server to handle requests to OpenAI’s API. We can use the popular Express framework to create a simple server that will handle incoming requests and send them to OpenAI for processing.

const express = require('express'); const app = express();


        app.post('/chat-completions', async (req, res) => {

            // Handle chat completion requests

        });

app.listen(3001, () => { console.log('Server is running on port 3001'); });

Streaming Chat Completions in React

Next, let’s create a React component that will handle the streaming of chat completions from the Node JS server. We can use the Fetch API to make requests to the server and receive the chat completions in real-time.

import React, { useState, useEffect } from 'react';


        const ChatComponent = () => {

            const [chat, setChat] = useState('');
            useEffect(() => {

                const streamChatCompletions = async () => {

                    const response = await fetch('http://localhost:3001/chat-completions', {

                        method: 'POST',

                        // Add any required headers and body here

                    });

                    const data = await response.json();

                    setChat(data.completion);

                };
                streamChatCompletions();

            }, []);
            return (

Chat Completions:
{chat}

            );

        };

export default ChatComponent;

Conclusion

By setting up a Node JS server to handle requests to OpenAI’s API and streaming chat completions in a React component, we can create a real-time chat application powered by OpenAI’s GPT-3. This allows for seamless integration of conversational AI into web applications, opening up a world of possibilities for virtual assistants, chatbots, and more.