Develop a Streaming Chat App in React.js with Langchain
Creating a streaming chat application with language support ensures seamless communication among users from different language backgrounds. In this article, we will be using React.js and Langchain to develop a chat application that supports real-time translation, enhancing the user experience.
Table of Contents
- Introduction to React.js and Langchain
- Setting Up the Project
- Building the Chat Interface
- Adding Language Support with Langchain
- Connecting and Testing the Streaming Chat
- Conclusion
Introduction to React.js and Langchain
React.js is a popular JavaScript library for building user interfaces. It is especially useful for developing single-page applications, where data can update without refreshing the page.
Langchain is a translation-as-a-service platform that offers real-time translation for chat applications. It enables users to communicate across different languages, making it an excellent choice for our streaming chat application.
Setting Up the Project
-
Install Node.js and npm (Node Package Manager) if you haven't already. You can download them from the official website.
-
Install Create React App globally using the following command:
npm install -g create-react-app
- Create a new React project using Create React App:
create-react-app streaming-chat-app
- Navigate to the project directory:
cd streaming-chat-app
- Install the necessary dependencies:
npm install socket.io-client langchain
Building the Chat Interface
We will create a simple chat interface using React components:
-
Create a new folder called
components
inside thesrc
folder. -
Inside the
components
folder, create a new file calledChat.js
. -
Add the following code to
Chat.js
:
import React, { useState, useEffect } from 'react';
import { io } from 'socket.io-client';
const Chat = () => {
const [message, setMessage] = useState('');
const [messages, setMessages] = useState([]);
const [socket, setSocket] = useState(null);
useEffect(() => {
const newSocket = io('http://localhost:3001');
setSocket(newSocket);
newSocket.on('message', (msg) => {
setMessages((prevMessages) => [...prevMessages, msg]);
});
return () => newSocket.close();
}, []);
const sendMessage = () => {
if (socket) {
socket.emit('message', message);
setMessage('');
}
};
return (
<>
<ul>
{messages.map((msg, index) => (
<li key={index}>{msg}</li>
))}
</ul>
<input value={message} onChange={(e) => setMessage(e.target.value)} />
<button onClick={sendMessage}>Send</button>
</>
);
};
export default Chat;
Adding Language Support with Langchain
- Import the
Langchain
library at the top ofChat.js
:
import Langchain from 'langchain';
- Create a Langchain instance with your API key:
const langchain = new Langchain(<your-api-key>);
- Modify the
sendMessage
function to send a translated message:
const sendMessage = async () => {
if (socket) {
const translatedMessage = await langchain.translate(message, 'en', 'es');
socket.emit('message', translatedMessage);
setMessage('');
}
};
- Update the
newSocket.on('message', ...)
event listener to handle translated messages:
newSocket.on('message', async (msg) => {
const translatedMessage = await langchain.translate(msg, 'es', 'en');
setMessages((prevMessages) => [...prevMessages, translatedMessage]);
});
Connecting and Testing the Streaming Chat
- Replace the content of
src/App.js
with the following code:
import React from 'react';
import Chat from './components/Chat';
function App() {
return (
<div className="App">
<Chat />
</div>
);
}
export default App;
- Start the React development server:
npm start
-
Open your browser and navigate to
http://localhost:3000
. You should now see the chat interface. -
Test the streaming chat by sending messages between two different browsers or devices.
Conclusion
In this article, we learned how to create a streaming chat application in React.js with language support using Langchain. This allows users to communicate seamlessly across different languages, enhancing their experience. You can further expand the application by adding user authentication, additional language options, and more. Happy coding!