blog.gopenai.com Open in urlscan Pro
162.159.153.4  Public Scan

Form analysis
0 forms found in the DOM

Text Content

Open in app

Sign up

Sign in

Write


Sign up

Sign in




INTEGRATING CHATGPT WITH A REACT.JS AND NODE.JS WEB APPLICATION

TechSolutionX

·

Follow

Published in

GoPenAI

·
3 min read
·
May 8, 2023

108



Listen

Share



In this blog, I am going to walk through the process of integrating ChatGPT into
a web application built using React.js and Node.js (Express.js).


INTRODUCTION

Artificial Intelligence (AI) has been making significant strides in recent
years, and one of its most promising applications is in the field of natural
language processing. ChatGPT, a cutting-edge AI model developed by OpenAI, is
revolutionizing the way we interact with machines through human-like
conversations.

In this blog post, we will explore the capabilities of ChatGPT, its potential
use cases, and how it is transforming the landscape of conversational AI.


WHAT IS CHATGPT?

ChatGPT, or Chatbot Generative Pre-trained Transformer, is an advanced AI model
that leverages deep learning techniques to understand and generate human-like
text. It is based on the GPT architecture, which has been pre-trained on vast
amounts of data from the internet, enabling it to generate contextually relevant
and coherent responses.


PREREQUISITES

 * Basic knowledge of React.js and Node.js (Express.js)
 * Node.js installed on your system
 * An OpenAI API key


OVERVIEW

 1. Setting up the project
 2. Integrating ChatGPT


SETTING UP THE PROJECT

1. Create a new React.js project

Use create-react-app to set up a new React.js project:

npx create-react-app chatgpt-integration
cd chatgpt-integration

2. Set up an Express.js server

Install the express package:

npm install express

Create a new file named server.js in the project root folder and add the
following code:

const express = require('express');
const app = express();
const port = 3001;

app.get('/', (req, res) => {
  res.send('Hello World!');
});

app.listen(port, () => {
  console.log(`Server listening at http://localhost:${port}`);
});


INTEGRATING CHATGPT

1. Install the openai package

Install the openai package to interact with the OpenAI API:

2. Configure the OpenAI API key

In the server.js file, import the openai package and set the API key:

const openai = require('openai');
openai.apiKey = 'your_openai_api_key';

Replace 'your_openai_api_key' with your actual API key obtained from OpenAI.

3. Create a new endpoint for ChatGPT requests

Add a new POST route /chatgpt in the server.js file:

app.use(express.json());

app.post('/chatgpt', async (req, res) => {
  const prompt = req.body.prompt;

  try {
    const response = await openai.Completion.create({
      engine: 'text-davinci-002',
      prompt: prompt,
      max_tokens: 50,
      n: 1,
      stop: null,
      temperature: 0.5,
    });

    res.json({ text: response.choices[0].text });
  } catch (error) {
    console.error(error);
    res.status(500).json({ error: 'An error occurred while processing your request.' });
  }
});

This route will handle requests from the frontend to generate text using
ChatGPT.

4. Create a React component for ChatGPT interaction

In the React.js application, create a new functional component called ChatGPT:

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

const ChatGPT = () => {
  const [input, setInput] = useState('');
  const [response, setResponse] = useState('');

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

    try {
      const result = await axios.post('/chatgpt', { prompt: input });
      setResponse(result.data.text);
    } catch (error) {
      console.error(error);
      setResponse('An error occurred while processing your request.');
    }
  };

  return (
    <div>
      <form onSubmit={handleSubmit}>
        <label htmlFor="input">Input:</label>
        <input
          type="text"
          id="input"
          value={input}
          onChange={(e) => setInput(e.target.value)}
        />
        <button type="submit">Submit</button>
      </form>
      <div>
        <h3>Response:</h3>
        <p>{response}</p>
      </div>
    </div>
  );
};

export default ChatGPT;

This component allows users to interact with ChatGPT and see the generated
responses.

5. Use the ChatGPT component in the main App

In the App.js file, import the ChatGPT component and include it within the main
application layout:

import React from 'react';
import './App.css';
import ChatGPT from './ChatGPT';

function App() {
  return (
    <div className="App">
      <header className="App-header">
        <h1>ChatGPT Integration</h1>
      </header>
      <main>
        <ChatGPT />
      </main>
    </div>
  );
}

export default App;

Now you have a web application that integrates AI with ChatGPT using React.js
and Node.js. Users can submit prompts to ChatGPT and receive generated responses
in real-time.


CONCLUSION

ChatGPT is a groundbreaking AI model that is transforming the way we interact
with machines. Its ability to understand context, engage in multi-turn
conversations, and be customized for various applications makes it a powerful
tool in numerous industries. As we continue to refine and improve upon this
technology, the possibilities for its use are virtually limitless.





SIGN UP TO DISCOVER HUMAN STORIES THAT DEEPEN YOUR UNDERSTANDING OF THE WORLD.


FREE



Distraction-free reading. No ads.

Organize your knowledge with lists and highlights.

Tell your story. Find your audience.


Sign up for free


MEMBERSHIP



Access the best member-only stories.

Support independent authors.

Listen to audio narrations.

Read offline.

Join the Partner Program and earn for your writing.


Try for $5/month
AI
ChatGPT
Machine Learning
React
Node


108

108



Follow



WRITTEN BY TECHSOLUTIONX

275 Followers
·Writer for

GoPenAI

I am a software developer with a passion for innovation. Stay connected for
insights on cutting-edge technology, blockchain advancements, and more.

Follow




MORE FROM TECHSOLUTIONX AND GOPENAI

TechSolutionX


BEST PRACTICES IN GO (GOLANG) DEVELOPMENT


1. USE EXPLICIT DATA TYPES

2 min read·Feb 12, 2024

202





Júlio Almeida

in

GoPenAI


OPEN-SOURCE LLM DOCUMENT EXTRACTION USING MISTRAL 7B


INTRODUCTION

6 min read·Feb 2, 2024

560

2




Anthony Alcaraz

in

GoPenAI


ARCHITECTING MORE ADAPTIVE AI: A KNOWLEDGE GRAPH REASONING FRAMEWORK


LARGE LANGUAGE MODELS (LLMS) HAVE DEMONSTRATED IMPRESSIVE FLUENCY AND
VERSATILITY ACROSS A RANGE OF LANGUAGE TASKS. HOWEVER, THEY STRUGGLE…


·10 min read·Feb 9, 2024

354

1




TechSolutionX


BUILDING BEAUTIFUL UI WITH TAILWIND CSS AND STYLED COMPONENTS IN NEXT.JS


ARE YOU TIRED OF WRITING CUSTOM CSS FOR EVERY PROJECT? DO YOU WANT TO BUILD
BEAUTIFUL UIS QUICKLY AND EFFICIENTLY? LOOK NO FURTHER THAN…

7 min read·Jun 5, 2023

40

5



See all from TechSolutionX
See all from GoPenAI



RECOMMENDED FROM MEDIUM

Ralf Elfving


TUTORIAL: GET STARTED WITH THE NEW OPENAI ASSISTANTS API


OPENAI RELEASED THE NEW ASSISTANTS API TODAY, WHICH OPENS UP A LOT OF NEW
OPPORTUNITIES. I PUT TOGETHER THIS SCRAPPY NODEJS TUTORIAL ON THE…

4 min read·Nov 6, 2023

135

2




Deeksha Rungta


HOW TO BUILD YOUR OWN AI CHATBOT WITH OPEN AI API


EVER WANTED TO CREATE YOUR OWN CHATBOT? THIS TUTORIAL WILL GUIDE YOU THROUGH THE
PROCESS USING THE OPENAI API WITH REACT.

8 min read·Oct 6, 2023

59






LISTS


THE NEW CHATBOTS: CHATGPT, BARD, AND BEYOND

12 stories·323 saves


WHAT IS CHATGPT?

9 stories·310 saves


CHATGPT PROMPTS

44 stories·1203 saves


GENERATIVE AI RECOMMENDED READING

52 stories·783 saves


Venkata Naveen Varma V


CHATBOT WITH OPENAI API AND NODEJS


IN THIS PROJECT, WE’LL USE THE CHATGPT API WITH NODE.JS TO BUILD A VERSATILE
CHATBOT POWERED BY THE GPT-3.5 TURBO MODEL. THIS BOT…

5 min read·Nov 10, 2023

62





Charles Houston

in

Stackademic


BUILDING AN INTELLIGENT CHATBOT WITH ANGULAR, TYPESCRIPT, AND OPENAI’S CHATGPT:
A COMPREHENSIVE…


CHATBOT CREATION UNLEASHED: MASTERING ANGULAR, OPENAI, AND VERCEL FOR A
FUTURE-READY APPLICATION

17 min read·Dec 26, 2023

17





Rohit Kumar Thakur




BUILDING AN AI CHATBOT WITH REACT, NEXT.JS, TAILWIND CSS AND OPENAI


LEARN HOW TO CREATE A CONVERSATIONAL AI CHATBOT USING OPENAI’S POWERFUL LANGUAGE
MODELS IN A REACT APP BUILT WITH NEXT.JS AND TAILWIND CSS

4 min read·Nov 20, 2023

25





Jean F Beaulieu


A STEP-BY-STEP GUIDE TO CREATING YOUR OWN ASSISTANT CHATBOT USING OPENAI’S
ASSISTANT API AND REACT


UNDERSTANDING THE POWER OF THE ASSISTANT API

10 min read·Nov 25, 2023

89

2



See more recommendations

Help

Status

About

Careers

Blog

Privacy

Terms

Text to speech

Teams