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682 lines
30 KiB
682 lines
30 KiB
<!doctype html>
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<html lang="en-us">
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<head>
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<title>whisper.cpp : WASM example</title>
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<style>
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#output {
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width: 100%;
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height: 100%;
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margin: 0 auto;
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margin-top: 10px;
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border-left: 0px;
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border-right: 0px;
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padding-left: 0px;
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padding-right: 0px;
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display: block;
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background-color: black;
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color: white;
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font-size: 10px;
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font-family: 'Lucida Console', Monaco, monospace;
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outline: none;
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white-space: pre;
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overflow-wrap: normal;
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overflow-x: scroll;
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}
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</style>
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</head>
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<body>
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<div id="main-container">
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<b>Minimal <a href="https://github.com/ggerganov/whisper.cpp">whisper.cpp</a> example running fully in the browser</b>
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<br><br>
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Usage instructions:<br>
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<ul>
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<li>Load a ggml model file (you can obtain one from <a href="https://ggml.ggerganov.com/">here</a>, recommended: <b>tiny</b> or <b>base</b>)</li>
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<li>Select audio file to transcribe or record audio from the microphone (sample: <a href="https://whisper.ggerganov.com/jfk.wav">jfk.wav</a>)</li>
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<li>Click on the "Transcribe" button to start the transcription</li>
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</ul>
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Note that the computation is quite heavy and may take a few seconds to complete.<br>
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The transcription results will be displayed in the text area below.<br><br>
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<b>Important: your browser must support WASM SIMD instructions for this to work.</b>
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<br><br><hr>
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<div id="model">
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Model:
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<button id="fetch-whisper-tiny-en" onclick="loadWhisper('tiny.en')">tiny.en (75 MB)</button>
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<button id="fetch-whisper-tiny" onclick="loadWhisper('tiny')">tiny (75 MB)</button>
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<button id="fetch-whisper-base-en" onclick="loadWhisper('base.en')">base.en (142 MB)</button>
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<button id="fetch-whisper-base" onclick="loadWhisper('base')">base (142 MB)</button>
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<span id="fetch-whisper-progress"></span>
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<input type="file" id="file" name="file" onchange="loadFile(event, 'whisper.bin')" />
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</div>
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<br>
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<!-- radio button to select between file upload or microphone -->
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<div id="input">
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Input:
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<input type="radio" id="file" name="input" value="file" checked="checked" onchange="changeInput('file')" /> File
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<input type="radio" id="mic" name="input" value="mic" onchange="changeInput('mic')" /> Microphone
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</div>
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<br>
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<div id="input_file">
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Audio file:
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<input type="file" id="file" name="file" onchange="loadAudio(event)" />
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</div>
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<div id="input_mic" style="display: none;">
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Microphone:
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<button id="start" onclick="startRecording()">Start</button>
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<button id="stop" onclick="stopRecording()" disabled>Stop</button>
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<!-- progress bar to show recording progress -->
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<br><br>
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<div id="progress" style="display: none;">
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<div id="progress-bar" style="width: 0%; height: 10px; background-color: #4CAF50;"></div>
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<div id="progress-text">0%</div>
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</div>
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</div>
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<audio controls="controls" id="audio" loop hidden>
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Your browser does not support the <audio> tag.
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<source id="source" src="" type="audio/wav" />
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</audio>
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<hr><br>
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<table>
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<tr>
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<td>
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Language:
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<select id="language" name="language">
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<option value="en">English</option>
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<option value="ar">Arabic</option>
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<option value="hy">Armenian</option>
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<option value="az">Azerbaijani</option>
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<option value="eu">Basque</option>
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<option value="be">Belarusian</option>
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<option value="bn">Bengali</option>
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<option value="bg">Bulgarian</option>
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<option value="ca">Catalan</option>
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<option value="zh">Chinese</option>
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<option value="hr">Croatian</option>
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<option value="cs">Czech</option>
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<option value="da">Danish</option>
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<option value="nl">Dutch</option>
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<option value="en">English</option>
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<option value="et">Estonian</option>
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<option value="tl">Filipino</option>
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<option value="fi">Finnish</option>
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<option value="fr">French</option>
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<option value="gl">Galician</option>
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<option value="ka">Georgian</option>
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<option value="de">German</option>
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<option value="el">Greek</option>
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<option value="gu">Gujarati</option>
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<option value="iw">Hebrew</option>
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<option value="hi">Hindi</option>
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<option value="hu">Hungarian</option>
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<option value="is">Icelandic</option>
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<option value="id">Indonesian</option>
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<option value="ga">Irish</option>
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<option value="it">Italian</option>
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<option value="ja">Japanese</option>
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<option value="kn">Kannada</option>
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<option value="ko">Korean</option>
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<option value="la">Latin</option>
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<option value="lv">Latvian</option>
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<option value="lt">Lithuanian</option>
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<option value="mk">Macedonian</option>
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<option value="ms">Malay</option>
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<option value="mt">Maltese</option>
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<option value="no">Norwegian</option>
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<option value="fa">Persian</option>
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<option value="pl">Polish</option>
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<option value="pt">Portuguese</option>
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<option value="ro">Romanian</option>
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<option value="ru">Russian</option>
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<option value="sr">Serbian</option>
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<option value="sk">Slovak</option>
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<option value="sl">Slovenian</option>
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<option value="es">Spanish</option>
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<option value="sw">Swahili</option>
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<option value="sv">Swedish</option>
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<option value="ta">Tamil</option>
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<option value="te">Telugu</option>
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<option value="th">Thai</option>
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<option value="tr">Turkish</option>
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<option value="uk">Ukrainian</option>
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<option value="ur">Urdu</option>
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<option value="vi">Vietnamese</option>
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<option value="cy">Welsh</option>
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<option value="yi">Yiddish</option>
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</select>
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</td>
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<td>
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<button onclick="onProcess(false);">Transcribe</button>
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</td>
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<td>
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<button onclick="onProcess(true);">Translate</button>
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</td>
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</tr>
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</table>
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<br>
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<!-- textarea with height filling the rest of the page -->
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<textarea id="output" rows="20"></textarea>
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<br><br>
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<div class="cell-version">
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<span>
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Build time: <span class="nav-link">@GIT_DATE@</span> |
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Commit hash: <a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/commit/@GIT_SHA1@">@GIT_SHA1@</a> |
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Commit subject: <span class="nav-link">@GIT_COMMIT_SUBJECT@</span> |
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<a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/whisper.wasm">Source Code</a> |
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</span>
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</div>
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</div>
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<script type='text/javascript'>
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// TODO: convert audio buffer to WAV
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function setAudio(audio) {
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//if (audio) {
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// // convert to 16-bit PCM
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// var blob = new Blob([audio], { type: 'audio/wav' });
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// var url = URL.createObjectURL(blob);
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// document.getElementById('source').src = url;
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// document.getElementById('audio').hidden = false;
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// document.getElementById('audio').loop = false;
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// document.getElementById('audio').load();
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//} else {
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// document.getElementById('audio').hidden = true;
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//}
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}
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function changeInput(input) {
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if (input == 'file') {
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document.getElementById('input_file').style.display = 'block';
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document.getElementById('input_mic').style.display = 'none';
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document.getElementById('progress').style.display = 'none';
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} else {
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document.getElementById('input_file').style.display = 'none';
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document.getElementById('input_mic').style.display = 'block';
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document.getElementById('progress').style.display = 'block';
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}
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}
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var printTextarea = (function() {
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var element = document.getElementById('output');
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if (element) element.alue = ''; // clear browser cache
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return function(text) {
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if (arguments.length > 1) text = Array.prototype.slice.call(arguments).join(' ');
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console.log(text);
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if (element) {
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element.value += text + "\n";
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element.scrollTop = element.scrollHeight; // focus on bottom
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}
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};
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})();
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var Module = {
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print: printTextarea,
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printErr: printTextarea,
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setStatus: function(text) {
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printTextarea('js: ' + text);
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},
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monitorRunDependencies: function(left) {
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}
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};
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const kMaxAudio_s = 120;
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const kSampleRate = 16000;
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window.AudioContext = window.AudioContext || window.webkitAudioContext;
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window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
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// web audio context
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var context = null;
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// audio data
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var audio = null;
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// the whisper instance
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var instance = null;
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var model_fname = '';
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// helper function
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function convertTypedArray(src, type) {
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var buffer = new ArrayBuffer(src.byteLength);
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var baseView = new src.constructor(buffer).set(src);
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return new type(buffer);
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}
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//
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// load model
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//
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let dbVersion = 1
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let dbName = 'whisper.ggerganov.com';
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let indexedDB = window.indexedDB || window.mozIndexedDB || window.webkitIndexedDB || window.msIndexedDB
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function storeFS(fname, buf) {
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// write to WASM file using FS_createDataFile
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// if the file exists, delete it
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try {
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Module.FS_unlink(fname);
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} catch (e) {
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// ignore
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}
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Module.FS_createDataFile("/", fname, buf, true, true);
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model_fname = fname;
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printTextarea('js: stored model: ' + fname + ' size: ' + buf.length);
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}
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function loadFile(event, fname) {
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var file = event.target.files[0] || null;
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if (file == null) {
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return;
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}
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printTextarea("js: loading model: " + file.name + ", size: " + file.size + " bytes");
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printTextarea('js: please wait ...');
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var reader = new FileReader();
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reader.onload = function(event) {
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var buf = new Uint8Array(reader.result);
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storeFS(fname, buf);
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}
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reader.readAsArrayBuffer(file);
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}
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// fetch a remote file from remote URL using the Fetch API
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async function fetchRemote(url, elProgress) {
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printTextarea('js: downloading with fetch()...');
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const response = await fetch(
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url,
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{
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method: 'GET',
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headers: {
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'Content-Type': 'application/octet-stream',
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},
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}
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);
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if (!response.ok) {
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printTextarea('js: failed to fetch ' + url);
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return;
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}
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const contentLength = response.headers.get('content-length');
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const total = parseInt(contentLength, 10);
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const reader = response.body.getReader();
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var chunks = [];
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var receivedLength = 0;
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var progressLast = -1;
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while (true) {
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const { done, value } = await reader.read();
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if (done) {
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break;
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}
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chunks.push(value);
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receivedLength += value.length;
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if (contentLength) {
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// update progress bar element with the new percentage
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elProgress.innerHTML = Math.round((receivedLength / total) * 100) + '%';
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var progressCur = Math.round((receivedLength / total) * 10);
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if (progressCur != progressLast) {
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printTextarea('js: fetching ' + 10*progressCur + '% ...');
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progressLast = progressCur;
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}
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}
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}
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var chunksAll = new Uint8Array(receivedLength);
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var position = 0;
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for (var chunk of chunks) {
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chunksAll.set(chunk, position);
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position += chunk.length;
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}
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return chunksAll;
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}
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// load remote data
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// - check if the data is already in the IndexedDB
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// - if not, fetch it from the remote URL and store it in the IndexedDB
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// - store it in WASM memory
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function loadRemote(url, dst, elProgress, size_mb) {
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// query the storage quota and print it
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navigator.storage.estimate().then(function (estimate) {
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printTextarea('js: storage quota: ' + estimate.quota + ' bytes');
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printTextarea('js: storage usage: ' + estimate.usage + ' bytes');
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});
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// check if the data is already in the IndexedDB
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var request = indexedDB.open(dbName, dbVersion);
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request.onupgradeneeded = function (event) {
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var db = event.target.result;
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if (db.version == 1) {
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var objectStore = db.createObjectStore('models', { autoIncrement: false });
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printTextarea('js: created IndexedDB ' + db.name + ' version ' + db.version);
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} else {
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// clear the database
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var objectStore = event.currentTarget.transaction.objectStore('models');
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objectStore.clear();
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printTextarea('js: cleared IndexedDB ' + db.name + ' version ' + db.version);
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}
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};
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request.onsuccess = function (event) {
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var db = event.target.result;
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var transaction = db.transaction(['models'], 'readonly');
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var objectStore = transaction.objectStore('models');
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var request = objectStore.get(url);
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request.onsuccess = function (event) {
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if (request.result) {
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printTextarea('js: "' + url + '" is already in the IndexedDB');
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storeFS(dst, request.result);
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} else {
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// data is not in the IndexedDB
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printTextarea('js: "' + url + '" is not in the IndexedDB');
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// alert and ask the user to confirm
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if (!confirm('You are about to download ' + size_mb + ' MB of data.\nThe model data will be cached in the browser for future use.\n\nPress OK to continue.')) {
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var el;
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el = document.getElementById('fetch-whisper-tiny-en'); if (el) el.style.display = 'inline-block';
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el = document.getElementById('fetch-whisper-tiny'); if (el) el.style.display = 'inline-block';
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el = document.getElementById('fetch-whisper-base-en'); if (el) el.style.display = 'inline-block';
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el = document.getElementById('fetch-whisper-base'); if (el) el.style.display = 'inline-block';
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return;
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}
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fetchRemote(url, elProgress).then(function (data) {
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if (data) {
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// store the data in the IndexedDB
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var request = indexedDB.open(dbName, dbVersion);
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request.onsuccess = function (event) {
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var db = event.target.result;
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var transaction = db.transaction(['models'], 'readwrite');
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var objectStore = transaction.objectStore('models');
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var request = objectStore.put(data, url);
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request.onsuccess = function (event) {
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printTextarea('js: "' + url + '" stored in the IndexedDB');
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storeFS(dst, data);
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};
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request.onerror = function (event) {
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printTextarea('js: failed to store "' + url + '" in the IndexedDB');
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};
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};
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}
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});
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}
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};
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request.onerror = function (event) {
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printTextarea('js: failed to get data from the IndexedDB');
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};
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};
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request.onerror = function (event) {
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printTextarea('js: failed to open IndexedDB');
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};
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request.onblocked = function (event) {
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printTextarea('js: failed to open IndexedDB: blocked');
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};
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request.onabort = function (event) {
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printTextarea('js: failed to open IndexedDB: abort');
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};
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}
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function loadWhisper(model) {
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let urls = {
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'tiny.en': 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.en.bin',
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'tiny': 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.bin',
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'base.en': 'https://whisper.ggerganov.com/ggml-model-whisper-base.en.bin',
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'base': 'https://whisper.ggerganov.com/ggml-model-whisper-base.bin',
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};
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let sizes = {
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'tiny.en': 75,
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'tiny': 75,
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'base.en': 142,
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'base': 142,
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};
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let url = urls[model];
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let dst = 'whisper.bin';
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let el = document.getElementById('fetch-whisper-progress');
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let size_mb = sizes[model];
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model_whisper = model;
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document.getElementById('fetch-whisper-tiny-en').style.display = 'none';
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document.getElementById('fetch-whisper-base-en').style.display = 'none';
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document.getElementById('fetch-whisper-tiny').style.display = 'none';
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document.getElementById('fetch-whisper-base').style.display = 'none';
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loadRemote(url, dst, el, size_mb);
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}
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//
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// audio file
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//
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function loadAudio(event) {
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if (!context) {
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context = new AudioContext({sampleRate: 16000});
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}
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var file = event.target.files[0] || null;
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if (file == null) {
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return;
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}
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printTextarea('js: loading audio: ' + file.name + ', size: ' + file.size + ' bytes');
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printTextarea('js: please wait ...');
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var reader = new FileReader();
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reader.onload = function(event) {
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var buf = new Uint8Array(reader.result);
|
|
|
|
context.decodeAudioData(buf.buffer, function(audioBuffer) {
|
|
var offlineContext = new OfflineAudioContext(audioBuffer.numberOfChannels, audioBuffer.length, audioBuffer.sampleRate);
|
|
var source = offlineContext.createBufferSource();
|
|
source.buffer = audioBuffer;
|
|
source.connect(offlineContext.destination);
|
|
source.start(0);
|
|
|
|
offlineContext.startRendering().then(function(renderedBuffer) {
|
|
audio = renderedBuffer.getChannelData(0);
|
|
printTextarea('js: audio loaded, size: ' + audio.length);
|
|
|
|
// truncate to first 30 seconds
|
|
if (audio.length > kMaxAudio_s*kSampleRate) {
|
|
audio = audio.slice(0, kMaxAudio_s*kSampleRate);
|
|
printTextarea('js: truncated audio to first ' + kMaxAudio_s + ' seconds');
|
|
}
|
|
|
|
setAudio(audio);
|
|
});
|
|
}, function(e) {
|
|
printTextarea('js: error decoding audio: ' + e);
|
|
audio = null;
|
|
setAudio(audio);
|
|
});
|
|
}
|
|
reader.readAsArrayBuffer(file);
|
|
}
|
|
|
|
//
|
|
// microphone
|
|
//
|
|
|
|
var mediaRecorder = null;
|
|
var doRecording = false;
|
|
var startTime = 0;
|
|
|
|
function stopRecording() {
|
|
doRecording = false;
|
|
}
|
|
|
|
// record up to kMaxAudio_s seconds of audio from the microphone
|
|
// check if doRecording is false every 1000 ms and stop recording if so
|
|
// update progress information
|
|
function startRecording() {
|
|
if (!context) {
|
|
context = new AudioContext({sampleRate: 16000});
|
|
}
|
|
|
|
document.getElementById('start').disabled = true;
|
|
document.getElementById('stop').disabled = false;
|
|
|
|
document.getElementById('progress-bar').style.width = '0%';
|
|
document.getElementById('progress-text').innerHTML = '0%';
|
|
|
|
doRecording = true;
|
|
startTime = Date.now();
|
|
|
|
var chunks = [];
|
|
var stream = null;
|
|
|
|
navigator.mediaDevices.getUserMedia({audio: true, video: false})
|
|
.then(function(s) {
|
|
stream = s;
|
|
mediaRecorder = new MediaRecorder(stream);
|
|
mediaRecorder.ondataavailable = function(e) {
|
|
chunks.push(e.data);
|
|
};
|
|
mediaRecorder.onstop = function(e) {
|
|
var blob = new Blob(chunks, { 'type' : 'audio/ogg; codecs=opus' });
|
|
chunks = [];
|
|
|
|
document.getElementById('start').disabled = false;
|
|
document.getElementById('stop').disabled = true;
|
|
|
|
var reader = new FileReader();
|
|
reader.onload = function(event) {
|
|
var buf = new Uint8Array(reader.result);
|
|
|
|
context.decodeAudioData(buf.buffer, function(audioBuffer) {
|
|
var offlineContext = new OfflineAudioContext(audioBuffer.numberOfChannels, audioBuffer.length, audioBuffer.sampleRate);
|
|
var source = offlineContext.createBufferSource();
|
|
source.buffer = audioBuffer;
|
|
source.connect(offlineContext.destination);
|
|
source.start(0);
|
|
|
|
offlineContext.startRendering().then(function(renderedBuffer) {
|
|
audio = renderedBuffer.getChannelData(0);
|
|
printTextarea('js: audio recorded, size: ' + audio.length);
|
|
|
|
// truncate to first 30 seconds
|
|
if (audio.length > kMaxAudio_s*kSampleRate) {
|
|
audio = audio.slice(0, kMaxAudio_s*kSampleRate);
|
|
printTextarea('js: truncated audio to first ' + kMaxAudio_s + ' seconds');
|
|
}
|
|
setAudio(audio);
|
|
});
|
|
}, function(e) {
|
|
printTextarea('js: error decoding audio: ' + e);
|
|
audio = null;
|
|
setAudio(audio);
|
|
});
|
|
}
|
|
|
|
reader.readAsArrayBuffer(blob);
|
|
};
|
|
mediaRecorder.start();
|
|
})
|
|
.catch(function(err) {
|
|
printTextarea('js: error getting audio stream: ' + err);
|
|
});
|
|
|
|
var interval = setInterval(function() {
|
|
if (!doRecording) {
|
|
clearInterval(interval);
|
|
mediaRecorder.stop();
|
|
stream.getTracks().forEach(function(track) {
|
|
track.stop();
|
|
});
|
|
}
|
|
|
|
document.getElementById('progress-bar').style.width = (100*(Date.now() - startTime)/1000/kMaxAudio_s) + '%';
|
|
document.getElementById('progress-text').innerHTML = (100*(Date.now() - startTime)/1000/kMaxAudio_s).toFixed(0) + '%';
|
|
}, 1000);
|
|
|
|
printTextarea('js: recording ...');
|
|
|
|
setTimeout(function() {
|
|
if (doRecording) {
|
|
printTextarea('js: recording stopped after ' + kMaxAudio_s + ' seconds');
|
|
stopRecording();
|
|
}
|
|
}, kMaxAudio_s*1000);
|
|
}
|
|
|
|
//
|
|
// transcribe
|
|
//
|
|
|
|
function onProcess(translate) {
|
|
if (!instance) {
|
|
instance = Module.init('whisper.bin');
|
|
|
|
if (instance) {
|
|
printTextarea("js: whisper initialized, instance: " + instance);
|
|
document.getElementById('model').innerHTML = 'Model loaded: ' + model_fname;
|
|
}
|
|
}
|
|
|
|
if (!instance) {
|
|
printTextarea("js: failed to initialize whisper");
|
|
return;
|
|
}
|
|
|
|
if (!audio) {
|
|
printTextarea("js: no audio data");
|
|
return;
|
|
}
|
|
|
|
if (instance) {
|
|
printTextarea('');
|
|
printTextarea('js: processing - this might take a while ...');
|
|
printTextarea('js: the page will be unresponsive until the processing is completed');
|
|
printTextarea('');
|
|
|
|
setTimeout(function() {
|
|
var ret = Module.full_default(instance, audio, document.getElementById('language').value, translate);
|
|
console.log('js: full_default returned: ' + ret);
|
|
if (ret) {
|
|
printTextarea("js: whisper returned: " + ret);
|
|
}
|
|
}, 100);
|
|
}
|
|
}
|
|
</script>
|
|
<script type="text/javascript" src="whisper.js"></script>
|
|
</body>
|
|
</html>
|