Skip to main content

How to use ChatGPT with React - React ChatGPT

 

How to use ChatGPT with React









        

ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that is specifically designed for generating human-like text in chatbot applications. To use ChatGPT with React, you will need to set up a server that can handle requests from the React application and use the OpenAI API to generate responses with ChatGPT.

Here is an outline of the steps you can follow to use ChatGPT with React:

Implement the Express server

For setting up the server we're using the Node.js Express framework. Install the following dependencies:

npm install openai express body-parser cors

In your server, use the openai library to set up the ChatGPT model and handle requests from the React application. For example, you could create an endpoint that accepts a prompt and returns a response generated by ChatGPT.

Create a new file server.js and insert the following JavaScript code:

const express = require("express");
const cors = require("cors");
const bodyParser = require("body-parser");

const { Configuration, OpenAIApi } = require("openai");

const configuration = new Configuration({
  apiKey: "YOUR_API_KEY",
});
const openai = new OpenAIApi(configuration);

// Set up the server
const app = express();
app.use(bodyParser.json());
app.use(cors())

// Set up the ChatGPT endpoint
app.post("/chat", async (req, res) => {
  // Get the prompt from the request
  const { prompt } = req.body;

  // Generate a response with ChatGPT
  const completion = await openai.createCompletion({
    model: "text-davinci-002",
    prompt: prompt,
  });
  res.send(completion.data.choices[0].text);
});

// Start the server
const port = 8080;
app.listen(port, () => {
  console.log(`Server listening on port ${port}`);
});

This code sets up an endpoint at /chat that accepts a POST request with a JSON body containing a prompt field. The server then uses the openai.createCompletion() method to generate a response with ChatGPT and sends it back to the client in the response.

You will need to replace YOUR_API_KEY with your own API key, which you can obtain by creating an account on the OpenAI website and following the instructions to obtain an API key.

Start the server by running the following command in the terminal:

node server.js

This will start the server and make it listen for requests at the specified port 8080.

Server running

Test the server by sending a POST request to the /chat endpoint with a prompt in the request body. You can use a tool like Postman or curl to send the request. For example, using curl:

curl -X POST -H "Content-Type: application/json" -d '{"prompt":"Hello, how are you doing today?"}' http://localhost:8080/chat

This will send a request with the prompt "Hello, how are you doing today?" to the server, and the server will respond with a text response generated by ChatGPT.

Testing the server

Set up the React application

Now that the server endpoint is available it's time to setup the React front-end application which is making use of that endpoint. Create a new React project by using the create-react-app script in the following way:

$ npx create-react-app react-chatgpt

Change into the newly created react-chatgpt project folder:

$ cd react-chatgpt

Install the axios library:

$ npm install axios

In your React application, you can use axios or another HTTP client library to send requests to the server and display the responses. For example insert the following React code in a file called src/App.js:

import axios from "axios";

function App() {
  const [prompt, setPrompt] = useState("");
  const [response, setResponse] = useState("");

  const handleSubmit = (e) => {
    e.preventDefault();

    // Send a request to the server with the prompt
    axios
      .post("/chat", { prompt })
      .then((res) => {
        // Update the response state with the server's response
        setResponse(res.data);
      })
      .catch((err) => {
        console.error(err);
      });
  };

  return (
    <div>
      <form onSubmit={handleSubmit}>
        <input
          type="text"
          value={prompt}
          onChange={(e) => setPrompt(e.target.value)}
        />
        <button type="submit">Submit</button>
      </form>
      <p>{response}</p>
    </div>
  );
}

This is just a basic example, and you can customize the implementation to fit your needs. For example, you might want to add a text input for the user to enter the prompt and a display area for the response.

Start the development server by running the following command in the terminal:

npm start

This will start the development server and open the React application in your default web browser.

Test the application by entering a prompt in the text input and submitting the form. The server will generate a response with ChatGPT and display it in the application.

React web application


Comments

Popular Posts

What are the Alternatives of device UDID in iOS? - iOS7 / iOS 6 / iOS 5 – Get Device Unique Identifier UDID

Get Device Unique Identifier UDID Following code will help you to get the unique-device-identifier known as UDID. No matter what iOS user is using, you can get the UDID of the current iOS device by following code. - ( NSString *)UDID { NSString *uuidString = nil ; // get os version NSUInteger currentOSVersion = [[[[[UIDevice currentDevice ] systemVersion ] componentsSeparatedByString: @" . " ] objectAtIndex: 0 ] integerValue ]; if (currentOSVersion <= 5 ) { if ([[ NSUserDefaults standardUserDefaults ] valueForKey: @" udid " ]) { uuidString = [[ NSUserDefaults standardDefaults ] valueForKey: @" udid " ]; } else { CFUUIDRef uuidRef = CFUUIDCreate ( kCFAllocatorDefault ); uuidString = ( NSString *) CFBridgingRelease ( CFUUIDCreateString ( NULL ,uuidRef)); CFRelease (uuidRef); [[ NSUserDefaults standardUserDefaults ] setObject: uuidString ForKey: @" udid " ]; [[ NSUserDefaults standardUserDefaults ] synchro...

16 AWS Gotchas

16 AWS Gotchas In January I launched the MVP for my own startup,  Proximistyle , which helps you find what you’re looking for nearby. On advice from friends and industry contacts I chose AWS as my cloud provider. Having never had to set up my own cloud infrastructure before, the learning curve to get from no experience to a stable VPC system I was happy with was significantly steeper than expected, and had its fair share of surprises. #1 Take advantage of the free resources offered AWS offers a free tier for new accounts. If you have recently bought a domain and set up a company you qualify for the free tier for a year. Additionally, if you are a bootstrapped startup you can apply for  the Startup Builders package  and get $1000 in AWS credits. After doing the above, you’re now ready to get started with setting up the AWS infrastructure for your startup. #2 Set up billing budgets and alerting The very first thing you should do after setting up billing, is enabling a budge...

Ultimate Folder Structure For Your React Native Project

  Ultimate Folder Structure For Your React Native Project React native project structure React Native is a flexible framework, giving developers the freedom to choose their code structure. However, this can be a double-edged sword for beginners. Though it offers ease of coding, it can soon become challenging to manage as your project expands. Thus, a structured folder system can be beneficial in many ways like better organization, simplified module management, adhering to coding practices, and giving a professional touch to your project. This write-up discusses a version of a folder arrangement that I employ in my React Native projects. This structure is based on best practices and can be modified to suit the specific needs of your project. Before we get into the project structure let’s give credit to @sanjay who has the original idea of the structure but I modify his version of the code, to make it better. Base library axios  — For network calling. react-navigation ...