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647 lines
26 KiB
647 lines
26 KiB
2 years ago
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<!doctype html>
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<html lang="en-us">
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<head>
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<title>Talk - GPT-2 meets Whisper in WebAssembly</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>Talk - GPT-2 meets Whisper in WebAssembly</b>
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<br><br>
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On this page you can talk with an AI entity. It uses:
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<ul>
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<li><a href="https://github.com/ggerganov/whisper.cpp">OpenAI's Whisper</a> model to listen to you as you speak in the microphone</li>
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<li><a href="https://github.com/ggerganov/ggml/tree/master/examples/gpt-2">OpenAI's GPT-2</a> model to generate a text response</li>
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<li><a href="https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API">Web Speech API</a> to speak the response to you through the speakers</li>
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</ul>
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All of this runs <b>locally in your browser</b> using WebAssembly.<br>
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You can find more about this project on <a href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/talk.wasm">GitHub</a>.
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<br><br>
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<hr>
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<div id="model-whisper">
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<span id="model-whisper-status">Whisper model:</span>
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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-base-en" onclick="loadWhisper('base.en')">base.en (142 MB)</button>
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<span id="fetch-whisper-progress"></span>
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<!--
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<input type="file" id="file" name="file" onchange="loadFile(event, 'whisper.bin')" />
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-->
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</div>
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<br>
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<div id="model-gpt-2">
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<span id="model-gpt-2-status">GPT-2 model:</span>
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<button id="fetch-gpt-2-small" onclick="loadGPT2('small')">small 117M (240 MB)</button>
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<!--<button id="fetch-gpt-2-medium" onclick="loadGPT2('medium')">medium 345M (720 MB)</button>-->
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<span id="fetch-gpt-2-progress"></span>
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<!--
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<input type="file" id="file" name="file" onchange="loadFile(event, 'gpt-2.bin')" />
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-->
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</div>
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<br>
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<div id="input">
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<button id="start" onclick="onStart()">Start</button>
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<button id="stop" onclick="onStop()" disabled>Stop</button>
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<select id="voice" onchange="onVoiceChange()">
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<option value="0">Default</option>
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</select>
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<button id="speak" onclick="onSpeak('Hello')">Say hello</button>
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<button id="speak" onclick="onSpeakRandom()">Say something</button>
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<button id="speak" onclick="clearCache()">Clear Cache</button>
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</div>
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<br>
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<div id="state">
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Status: <b><span id="state-status">idle</span></b>
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<pre id="state-context">[The text context will be displayed here]</pre>
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</div>
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<hr>
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Debug output:
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<textarea id="output" rows="20"></textarea>
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<br>
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<b>Troubleshooting</b>
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<br><br>
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The page does some heavy computations, so make sure:
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<ul>
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<li>To use a modern web browser (e.g. Chrome, Firefox)</li>
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<li>To use a fast desktop or laptop computer (e.g. not a mobile phone)</li>
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<li>Your browser supports WASM <a href="https://webassembly.org/roadmap/">Fixed-width SIMD</a></li>
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</ul>
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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/talk.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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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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const kRestartRecording_s = 15;
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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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var audio0 = null;
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// the talk instance
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var instance = null;
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// model names
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var model_whisper = null;
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var model_gpt_2 = null;
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// speech synthesis
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const synth = window.speechSynthesis;
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var voice = null;
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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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preRun: function() {
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printTextarea('js: Preparing ...');
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},
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postRun: function() {
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printTextarea('js: Initialized successfully!');
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// populate the voice list
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var voices = synth.getVoices();
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var el = document.getElementById('voice');
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var n = 0;
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voices.forEach(function(voice, i) {
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if (!voice.lang.startsWith('en')) return;
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var option = document.createElement('option');
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option.value = i;
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option.innerHTML = voice.name + ' (' + voice.lang + ')';
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el.appendChild(option);
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n++;
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});
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// select random voice
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if (n > 0) {
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for (var k = 0; k < 10; k++) {
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var i = Math.floor(Math.random() * n);
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el.selectedIndex = i;
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voice = voices[document.getElementById('voice').options[i].value];
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// give preference to Google voices
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if (voice.name.startsWith('Google')) break;
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}
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}
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}
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};
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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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// fetch models
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//
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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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printTextarea('js: stored model: ' + fname + ' size: ' + buf.length);
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if (fname == 'whisper.bin') {
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document.getElementById('model-whisper').innerHTML = 'Whisper model: loaded "' + model_whisper + '"!';
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} else if (fname == 'gpt-2.bin') {
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document.getElementById('model-gpt-2').innerHTML = 'GPT-2 model: loaded "' + model_gpt_2 + '"!';
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}
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}
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let dbVersion = 1
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let dbName = 'talk.ggerganov.com';
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let indexedDB = window.indexedDB || window.mozIndexedDB || window.webkitIndexedDB || window.msIndexedDB
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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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document.getElementById('fetch-whisper-tiny-en').style.display = 'inline-block';
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document.getElementById('fetch-whisper-base-en').style.display = 'inline-block';
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document.getElementById('fetch-gpt-2-small').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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};
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request.onerror = function (event) {
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printTextarea('js: failed to get data from the IndexedDB');
|
||
|
|
};
|
||
|
|
};
|
||
|
|
|
||
|
|
request.onerror = function (event) {
|
||
|
|
printTextarea('js: failed to open IndexedDB');
|
||
|
|
};
|
||
|
|
|
||
|
|
request.onblocked = function (event) {
|
||
|
|
printTextarea('js: failed to open IndexedDB: blocked');
|
||
|
|
};
|
||
|
|
|
||
|
|
request.onabort = function (event) {
|
||
|
|
printTextarea('js: failed to open IndexedDB: abort');
|
||
|
|
};
|
||
|
|
}
|
||
|
|
|
||
|
|
function loadWhisper(model) {
|
||
|
|
let urls = {
|
||
|
|
'tiny.en': 'https://talk.ggerganov.com/ggml-model-whisper-tiny.en.bin',
|
||
|
|
'base.en': 'https://talk.ggerganov.com/ggml-model-whisper-base.en.bin',
|
||
|
|
};
|
||
|
|
|
||
|
|
let sizes = {
|
||
|
|
'tiny.en': 75,
|
||
|
|
'base.en': 142,
|
||
|
|
};
|
||
|
|
|
||
|
|
let url = urls[model];
|
||
|
|
let dst = 'whisper.bin';
|
||
|
|
let el = document.getElementById('fetch-whisper-progress');
|
||
|
|
let size_mb = sizes[model];
|
||
|
|
|
||
|
|
model_whisper = model;
|
||
|
|
|
||
|
|
document.getElementById('fetch-whisper-tiny-en').style.display = 'none';
|
||
|
|
document.getElementById('fetch-whisper-base-en').style.display = 'none';
|
||
|
|
document.getElementById('model-whisper-status').innerHTML = 'Whisper model: loading "' + model + '" ... ';
|
||
|
|
|
||
|
|
loadRemote(url, dst, el, size_mb);
|
||
|
|
}
|
||
|
|
|
||
|
|
function loadGPT2(model) {
|
||
|
|
let urls = {
|
||
|
|
'small': 'https://talk.ggerganov.com/ggml-model-gpt-2-117M.bin',
|
||
|
|
'medium': 'https://talk.ggerganov.com/ggml-model-gpt-2-345M.bin',
|
||
|
|
};
|
||
|
|
|
||
|
|
let sizes = {
|
||
|
|
'small': 240,
|
||
|
|
'medium': 712,
|
||
|
|
};
|
||
|
|
|
||
|
|
let url = urls[model];
|
||
|
|
let dst = 'gpt-2.bin';
|
||
|
|
let el = document.getElementById('fetch-gpt-2-progress');
|
||
|
|
let size_mb = sizes[model];
|
||
|
|
|
||
|
|
model_gpt_2 = model;
|
||
|
|
|
||
|
|
document.getElementById('fetch-gpt-2-small').style.display = 'none';
|
||
|
|
document.getElementById('model-gpt-2-status').innerHTML = 'GPT-2 model: loading "' + model + '" ... ';
|
||
|
|
|
||
|
|
loadRemote(url, dst, el, size_mb);
|
||
|
|
}
|
||
|
|
|
||
|
|
//
|
||
|
|
// microphone
|
||
|
|
//
|
||
|
|
|
||
|
|
var mediaRecorder = null;
|
||
|
|
var doRecording = false;
|
||
|
|
var startTime = 0;
|
||
|
|
|
||
|
|
function stopRecording() {
|
||
|
|
Module.set_status("paused");
|
||
|
|
doRecording = false;
|
||
|
|
audio0 = null;
|
||
|
|
audio = null;
|
||
|
|
}
|
||
|
|
|
||
|
|
function startRecording() {
|
||
|
|
if (!context) {
|
||
|
|
context = new AudioContext({sampleRate: 16000});
|
||
|
|
}
|
||
|
|
|
||
|
|
Module.set_status("");
|
||
|
|
|
||
|
|
document.getElementById('start').disabled = true;
|
||
|
|
document.getElementById('stop').disabled = false;
|
||
|
|
|
||
|
|
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);
|
||
|
|
|
||
|
|
var blob = new Blob(chunks, { 'type' : 'audio/ogg; codecs=opus' });
|
||
|
|
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 + ', old size: ' + (audio0 == null ? 0 : audio0.length));
|
||
|
|
|
||
|
|
var audioAll = new Float32Array(audio0 == null ? audio.length : audio0.length + audio.length);
|
||
|
|
if (audio0 != null) {
|
||
|
|
audioAll.set(audio0, 0);
|
||
|
|
}
|
||
|
|
audioAll.set(audio, audio0 == null ? 0 : audio0.length);
|
||
|
|
|
||
|
|
if (instance) {
|
||
|
|
Module.set_audio(instance, audioAll);
|
||
|
|
}
|
||
|
|
});
|
||
|
|
}, function(e) {
|
||
|
|
audio = null;
|
||
|
|
});
|
||
|
|
}
|
||
|
|
|
||
|
|
reader.readAsArrayBuffer(blob);
|
||
|
|
};
|
||
|
|
|
||
|
|
mediaRecorder.onstop = function(e) {
|
||
|
|
if (doRecording) {
|
||
|
|
setTimeout(function() {
|
||
|
|
startRecording();
|
||
|
|
});
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
mediaRecorder.start(250);
|
||
|
|
})
|
||
|
|
.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('start').disabled = false;
|
||
|
|
document.getElementById('stop').disabled = true;
|
||
|
|
|
||
|
|
mediaRecorder = null;
|
||
|
|
}
|
||
|
|
|
||
|
|
// if audio length is more than kRestartRecording_s seconds, restart recording
|
||
|
|
if (audio != null && audio.length > kSampleRate*kRestartRecording_s) {
|
||
|
|
if (doRecording) {
|
||
|
|
//printTextarea('js: restarting recording');
|
||
|
|
|
||
|
|
clearInterval(interval);
|
||
|
|
audio0 = audio;
|
||
|
|
audio = null;
|
||
|
|
mediaRecorder.stop();
|
||
|
|
stream.getTracks().forEach(function(track) {
|
||
|
|
track.stop();
|
||
|
|
});
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}, 250);
|
||
|
|
}
|
||
|
|
|
||
|
|
//
|
||
|
|
// speak
|
||
|
|
//
|
||
|
|
|
||
|
|
function onSpeak(text) {
|
||
|
|
var voices = synth.getVoices();
|
||
|
|
var msg = new SpeechSynthesisUtterance(text);
|
||
|
|
|
||
|
|
if (voice == null) {
|
||
|
|
voice = voices[0];
|
||
|
|
}
|
||
|
|
|
||
|
|
msg.voice = voice;
|
||
|
|
synth.speak(msg);
|
||
|
|
|
||
|
|
if (doRecording) {
|
||
|
|
Module.set_status("speaking ...");
|
||
|
|
printTextarea('js: speaking');
|
||
|
|
stopRecording();
|
||
|
|
var interval = setInterval(function() {
|
||
|
|
if (!synth.speaking) {
|
||
|
|
printTextarea('js: done speaking');
|
||
|
|
clearInterval(interval);
|
||
|
|
startRecording();
|
||
|
|
} else {
|
||
|
|
Module.set_status("");
|
||
|
|
}
|
||
|
|
}, 100);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
function onSpeakRandom() {
|
||
|
|
Module.force_speak(instance);
|
||
|
|
}
|
||
|
|
|
||
|
|
async function clearCache() {
|
||
|
|
if (confirm('Are you sure you want to clear the cache?\nAll the models will be downloaded again.')) {
|
||
|
|
indexedDB.deleteDatabase(dbName);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
//
|
||
|
|
// main
|
||
|
|
//
|
||
|
|
|
||
|
|
var intervalUpdate = null;
|
||
|
|
|
||
|
|
function onStart() {
|
||
|
|
if (!instance) {
|
||
|
|
instance = Module.init('whisper.bin');
|
||
|
|
|
||
|
|
if (instance) {
|
||
|
|
printTextarea("js: whisper initialized, instance: " + instance);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
if (!instance) {
|
||
|
|
printTextarea("js: failed to initialize whisper");
|
||
|
|
return;
|
||
|
|
}
|
||
|
|
|
||
|
|
startRecording();
|
||
|
|
|
||
|
|
intervalUpdate = setInterval(function() {
|
||
|
|
var textToSpeak = Module.get_text_to_speak();
|
||
|
|
|
||
|
|
if (textToSpeak != null && textToSpeak.length > 1) {
|
||
|
|
onSpeak(textToSpeak);
|
||
|
|
}
|
||
|
|
|
||
|
|
document.getElementById('state-status').innerHTML = Module.get_status();
|
||
|
|
document.getElementById('state-context').innerHTML = Module.get_text_context();
|
||
|
|
}, 100);
|
||
|
|
}
|
||
|
|
|
||
|
|
function onStop() {
|
||
|
|
stopRecording();
|
||
|
|
}
|
||
|
|
|
||
|
|
function onVoiceChange() {
|
||
|
|
printTextarea('js: voice changed to: ' + document.getElementById('voice').value);
|
||
|
|
voice = synth.getVoices()[document.getElementById('voice').value];
|
||
|
|
}
|
||
|
|
|
||
|
|
</script>
|
||
|
|
<script type="text/javascript" src="talk.js"></script>
|
||
|
|
</body>
|
||
|
|
</html>
|