<!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 - 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>