How To Create a ChatBot with ChatGPT, React JS, OpenAI API, DaisyUI and Tailwind CSS

Chatbots are becoming increasingly popular in the world of web development. They provide an interactive and engaging way for users to interact with a website or application, and can make it easier for businesses to provide customer support or gather information from users. In this article, we will walk through the process of creating a chatbot using ChatGPT, React JS, the OpenAI API, DaisyUI and Tailwind CSS.

Getting Started

First, you will need to set up a development environment with React JS. If you haven’t already, you can install Node.js and create a new React project with the create-react-app command:

    
npx create-react-app chatbot
cd chatbot
npm start
    
    

Using OpenAI API

Next, you will need to sign up for an account and obtain an API key from OpenAI. This key will allow you to access the GPT-3 model and use it to generate responses for your chatbot. Once you have your API key, you can install the openai package and use it to make requests to the OpenAI API:

    
npm install openai
    
    

Now, you can use the openai package to make requests to the OpenAI API and generate responses for your chatbot. You can create a new component in your React project to handle the chatbot logic, and use the openai package to send user messages to the API and display the responses in the chat interface.

Styling with DaisyUI and Tailwind CSS

To style your chatbot interface, you can use DaisyUI and Tailwind CSS. These libraries provide a set of pre-built components and utility classes that you can use to quickly style your chatbot interface and make it look visually appealing.

First, you can install DaisyUI and Tailwind CSS through npm:

    
npm install daisyui tailwindcss
    
    

Creating the ChatBot Interface

With all the necessary tools and libraries in place, you can now start building the chatbot interface using React components and styling it with DaisyUI and Tailwind CSS. You can create a chat window component that displays the conversation between the user and the chatbot, and use the OpenAI API to generate responses for the user’s messages.

Below is a basic example of how you can create a chat window component and style it with DaisyUI and Tailwind CSS:

    
// ChatWindow.js

import React, { useState } from 'react';
import { OpenAI } from 'openai';
import './styles.css';

const ChatWindow = () => {
  const [input, setInput] = useState('');
  const [conversation, setConversation] = useState([]);

  const sendMessage = async () => {
    const response = await openai.complete({
      engine: 'text-davinci-003',
      prompt: input,
    });

    setConversation([...conversation, { user: input, bot: response }]);

    setInput('');
  };

  return (
    

      

        {conversation.map((msg, index) => (
          

            

              
{msg.user}
              
{msg.bot}
            
          
        ))}
      
      

         setInput(e.target.value)}
          className="flex-1 p-2"
        />
        
          Send
        
      
    
  );
};

export default ChatWindow;
    
    

With this, you have now created a basic chatbot interface using React JS, OpenAI API, DaisyUI and Tailwind CSS. You can further enhance the chatbot by adding more features and improving the user experience based on your project requirements.