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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Automatic Speech Recognition - Hugging Face Transformers.js</title>
<script type="module">
// Import the library
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';
// Make it available globally
window.pipeline = pipeline;
</script>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">
<link rel="stylesheet" href="css/styles.css">
</head>
<body>
<div class="container-main">
<!-- Page Header -->
<div class="header">
<div class="header-logo">
<img src="images/logo.png" alt="logo">
</div>
<div class="header-main-text">
<h1>Hugging Face Transformers.js</h1>
</div>
<div class="header-sub-text">
<h3>Free AI Models for JavaScript Web Development</h3>
</div>
</div>
<hr> <!-- Separator -->
<!-- Back to Home button -->
<div class="row mt-5">
<div class="col-md-12 text-center">
<a href="index.html" class="btn btn-outline-secondary"
style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
</div>
</div>
<!-- Content -->
<div class="container mt-5">
<!-- Centered Titles -->
<div class="text-center">
<h2>Audio</h2>
<h4>Automatic Speech Recognition - English</h4>
</div>
<!-- Actual Content of this page -->
<div id="transcribe-english-container" class="container mt-4">
<h5>Transcribe English:</h5>
<div class="d-flex align-items-center">
<label for="transcribeEnglishURLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeEnglishURLText"
value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeEnglishButton" class="btn btn-primary"
onclick="transcribeEnglish()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputArea"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-english-local-container" class="container mt-4">
<h5>Transcribe English a Local File:</h5>
<div class="d-flex align-items-center">
<label for="transcribeEnglishLocalFile" class="mb-0 text-nowrap" style="margin-right: 15px;">Select
Local Audio:</label>
<input type="file" id="transcribeEnglishLocalFile" accept="audio/*" />
<button id="TranscribeEnglishButtonLocal" class="btn btn-primary"
onclick="transcribeEnglishLocal()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputAreaLocal"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-english-timestamps-container" class="container mt-4">
<h5>Transcribe English with Timestamps:</h5>
<div class="d-flex align-items-center">
<label for="transcribeEnglishTimestampsURLText" class="mb-0 text-nowrap"
style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeEnglishTimestampsURLText"
value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeEnglishTimestampsButton" class="btn btn-primary"
onclick="transcribeEnglishTimestamps()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputAreaTimestamps"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-english-word-level-timestamps-container" class="container mt-4">
<h5>Transcribe English with Word-level Timestamps:</h5>
<div class="d-flex align-items-center">
<label for="transcribeEnglishWordlevelTimestampsURLText" class="mb-0 text-nowrap"
style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeEnglishWordlevelTimestampsURLText"
value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeEnglishWord-levelTimestampsButton" class="btn btn-primary"
onclick="transcribeEnglishWordlevelTimestamps()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputAreaWordlevelTimestamps"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-english-30-container" class="container mt-4">
<h5>Transcribe/Translate Audio Longer Than 30 Seconds:</h5>
<div class="d-flex align-items-center">
<label for="transcribeEnglish30URLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeEnglish30URLText"
value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/ted_60.wav"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeEnglish30Button" class="btn btn-primary"
onclick="transcribeEnglish30()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputArea30"></pre>
</div>
</div>
<!-- Back to Home button -->
<div class="row mt-5">
<div class="col-md-12 text-center">
<a href="index.html" class="btn btn-outline-secondary"
style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
</div>
</div>
</div>
</div>
<script>
let transcriber;
// Initialize the sentiment analysis model
async function initializeModel() {
transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
}
async function transcribeEnglish() {
const textFieldValue = document.getElementById("transcribeEnglishURLText").value.trim();
let result = await transcriber(textFieldValue);
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
}
async function transcribeEnglishLocal() {
const fileInput = document.getElementById("transcribeEnglishLocalFile");
const file = fileInput.files[0];
if (!file) {
alert('Please select an audio file first.');
return;
}
// Create a Blob URL from the file
const url = URL.createObjectURL(file);
let result = await transcriber(url);
document.getElementById("outputAreaLocal").innerText = JSON.stringify(result, null, 2);
}
async function transcribeEnglishTimestamps() {
const textFieldValue = document.getElementById("transcribeEnglishTimestampsURLText").value.trim();
let result = await transcriber(textFieldValue, { return_timestamps: true });
document.getElementById("outputAreaTimestamps").innerText = JSON.stringify(result, null, 2);
}
async function transcribeEnglishWordlevelTimestamps() {
const textFieldValue = document.getElementById("transcribeEnglishWordlevelTimestampsURLText").value.trim();
let result = await transcriber(textFieldValue, { return_timestamps: 'word' });
document.getElementById("outputAreaWordlevelTimestamps").innerText = JSON.stringify(result, null, 2);
}
async function transcribeEnglish30() {
const textFieldValue = document.getElementById("transcribeEnglish30URLText").value.trim();
let result = await transcriber(textFieldValue, { chunk_length_s: 30, stride_length_s: 5 });
document.getElementById("outputArea30").innerText = JSON.stringify(result, null, 2);
}
// Initialize the model after the DOM is completely loaded
window.addEventListener("DOMContentLoaded", initializeModel);
</script>
</body>
</html>