Building a Text to Speech AI App using Hugging Face and Next.js

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Creating a Text to Speech AI App

Creating a Text to Speech AI App with Hugging Face & Next.js

In this tutorial, we will walk through the process of creating a Text to Speech AI app using Hugging Face’s Transformers library and Next.js framework.

Step 1: Setting Up the Environment

First, make sure you have Node.js installed on your machine. Then, create a new directory for your project and navigate into it using the terminal.

$ mkdir text-to-speech-app
$ cd text-to-speech-app

Next, initialize a new Next.js project by running the following command:

$ npx create-next-app@latest

Step 2: Installing Dependencies

Once your Next.js project is set up, install the necessary dependencies for working with Hugging Face’s Transformers library using the following commands:

$ npm install @huggingface/transformers
$ npm install @huggingface/react

These packages will allow us to access Hugging Face’s pre-trained models for text to speech generation.

Step 3: Building the Frontend

Create a new file called index.js in the pages directory of your Next.js project. This file will contain the frontend code for our text to speech app.

// index.js
import { useState } from 'react';
import { HuggingFaceProvider, HuggingFaceContext } from '@huggingface/react';

export default function Home() {
  const [text, setText] = useState('');
  const [audioUrl, setAudioUrl] = useState('');

  const handleSubmit = async () => {
    const model = 'tts_model_name'; // Replace with the name of the desired text to speech model
    const { generate } = HuggingFaceContext.useModel();

    const audioBuffer = await generate(text, { model: model });
    const audioBlob = new Blob([audioBuffer], { type: 'audio/mpeg' });
    const audioUrl = window.URL.createObjectURL(audioBlob);
    setAudioUrl(audioUrl);
  };

  return (
    
       setText(e.target.value)} />
      
      {audioUrl && 
  );
}

This code sets up a simple form for entering text and a button to trigger the text to speech generation. When the button is clicked, the app uses Hugging Face’s pre-trained model to generate audio from the entered text.

Step 4: Running the App

To run the Text to Speech AI app, use the following command in the terminal:

$ npm run dev

Open your web browser and navigate to http://localhost:3000 to see your app in action. Enter some text, click the “Generate Speech” button, and listen to the AI-generated audio!

Congratulations! You have successfully created a Text to Speech AI app using Hugging Face’s Transformers library and Next.js. You can further customize the app by exploring different text to speech models provided by Hugging Face and adding more features to the frontend.