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    <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;
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        <div class="header">
            <div class="header-logo">
                <img src="images/logo.png" alt="logo">
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            <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>
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        <!-- Content -->
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                <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>

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                        style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
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    <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>
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