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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/[email protected]';
// Make it available globally
window.pipeline = pipeline;
</script>
<link href="https://cdn.jsdelivr.net/npm/[email protected]/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 - French</h4>
</div>
<!-- Actual Content of this page -->
<div id="transcribe-non-english-container" class="container mt-4">
<h5>Transcribe French:</h5>
<div class="d-flex align-items-center">
<label for="transcribeNonEnglishURLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeNonEnglishURLText"
value="https://huggingface.co./datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeNonEnglishButton" class="btn btn-primary" onclick="transcribeNonEnglish()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputArea"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-non-english-local-container" class="container mt-4">
<h5>Transcribe French a Local File:</h5>
<div class="d-flex align-items-center">
<label for="transcribeNonEnglishLocalFile" class="mb-0 text-nowrap"
style="margin-right: 15px;">Select Local Audio:</label>
<input type="file" id="transcribeNonEnglishLocalFile" accept="audio/*" />
<button id="TranscribeNonEnglishButtonLocal" class="btn btn-primary"
onclick="transcribeNonEnglishLocal()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputAreaLocal"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="transcribe-to-english-container" class="container mt-4">
<h5>Translate French to English:</h5>
<div class="d-flex align-items-center">
<label for="transcribeToEnglishURLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
audio URL:</label>
<input type="text" class="form-control flex-grow-1" id="transcribeToEnglishURLText"
value="https://huggingface.co./datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3"
placeholder="Enter audio" style="margin-right: 15px; margin-left: 15px;">
<button id="TranscribeToEnglishButton" class="btn btn-primary" onclick="transcribeToEnglish()">Transcribe</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputAreaToEnglish"></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-small');
}
async function transcribeNonEnglish() {
const textFieldValue = document.getElementById("transcribeNonEnglishURLText").value.trim();
let result = await transcriber(textFieldValue, { language: 'french', task: 'transcribe' })
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
}
async function transcribeNonEnglishLocal() {
const fileInput = document.getElementById("transcribeNonEnglishLocalFile");
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, { language: 'french', task: 'transcribe' })
document.getElementById("outputAreaLocal").innerText = JSON.stringify(result, null, 2);
}
async function transcribeToEnglish() {
const textFieldValue = document.getElementById("transcribeToEnglishURLText").value.trim();
let result = await transcriber(textFieldValue, { language: 'french', task: 'translate' })
document.getElementById("outputAreaToEnglish").innerText = JSON.stringify(result, null, 2);
}
// Initialize the model after the DOM is completely loaded
window.addEventListener("DOMContentLoaded", initializeModel);
</script>
</body>
</html> |