whisper.cpp/examples/talk.wasm/index-tmpl.html

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<!doctype html>
<html lang="en-us">
<head>
<title>Talk - GPT-2 meets Whisper in WebAssembly</title>
<style>
#output {
width: 100%;
height: 100%;
margin: 0 auto;
margin-top: 10px;
border-left: 0px;
border-right: 0px;
padding-left: 0px;
padding-right: 0px;
display: block;
background-color: black;
color: white;
font-size: 10px;
font-family: 'Lucida Console', Monaco, monospace;
outline: none;
white-space: pre;
overflow-wrap: normal;
overflow-x: scroll;
}
</style>
</head>
<body>
<div id="main-container">
<b>Talk - GPT-2 meets Whisper in WebAssembly</b>
<br><br>
Talk with an Artificial Intelligence in your browser. This demo uses:
<ul>
<li><a href="https://github.com/ggerganov/whisper.cpp">OpenAI's Whisper</a> to listen to you as you speak in the microphone</li>
<li><a href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/talk.wasm">OpenAI's GPT-2</a> to generate text responses</li>
<li><a href="https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API">Web Speech API</a> to vocalize the responses through your speakers</li>
</ul>
All of this runs <b>locally in your browser</b> using WebAssembly.<br>
You can find more about this project on <a href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/talk.wasm">GitHub</a>.
<br><br>
<b>More examples:</b>
<a href="https://whisper.ggerganov.com/">main</a> |
<a href="https://whisper.ggerganov.com/bench">bench</a> |
<a href="https://whisper.ggerganov.com/stream">stream</a> |
<a href="https://whisper.ggerganov.com/command">command</a> |
<a href="https://whisper.ggerganov.com/talk">talk</a> |
<br><br>
<hr>
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Select the models you would like to use and click the "Start" button to begin the conversation
<br><br>
<div id="model-whisper">
Whisper model: <span id="model-whisper-status"></span>
<button id="fetch-whisper-tiny-en" onclick="loadWhisper('tiny.en')">tiny.en (75 MB)</button>
<button id="fetch-whisper-base-en" onclick="loadWhisper('base.en')">base.en (142 MB)</button>
<br><br>
Quantized models:<br><br>
<button id="fetch-whisper-tiny-en-q5_1" onclick="loadWhisper('tiny-en-q5_1')">tiny.en (Q5_1, 31 MB)</button>
<button id="fetch-whisper-base-en-q5_1" onclick="loadWhisper('base-en-q5_1')">base.en (Q5_1, 57 MB)</button>
<span id="fetch-whisper-progress"></span>
<!--
<input type="file" id="file" name="file" onchange="loadFile(event, 'whisper.bin')" />
-->
</div>
<br>
<div id="model-gpt-2">
GPT-2 model: <span id="model-gpt-2-status"></span>
<button id="fetch-gpt-2-small" onclick="loadGPT2('small')">small 117M (240 MB)</button>
<!--<button id="fetch-gpt-2-medium" onclick="loadGPT2('medium')">medium 345M (720 MB)</button>-->
<span id="fetch-gpt-2-progress"></span>
<!--
<input type="file" id="file" name="file" onchange="loadFile(event, 'gpt-2.bin')" />
-->
</div>
<br>
<div id="input">
<button id="start" onclick="onStart()" disabled>Start</button>
<button id="stop" onclick="onStop()" disabled>Stop</button>
<select id="voice" onchange="onVoiceChange()" disabled>
<option value="0">Default</option>
</select>
<select id="prompt" onchange="onPromptChange()">
<option value="0">Casual</option>
<option value="1">Robot</option>
<option value="2">Scientist</option>
<option value="3">Programmer</option>
<option value="4">Happy</option>
<option value="5">Sad</option>
<option value="6">Philosophical</option>
<option value="7">Angry</option>
<option value="8">Funny</option>
<option value="9">Poetic</option>
<option value="10">Clever</option>
<option value="11">Cute</option>
<option value="12">Smart</option>
<option value="13">Dumb</option>
<option value="14">Boring</option>
<option value="15">Exciting</option>
<option value="16">Interesting</option>
<option value="17">Wiliam Shakespear</option>
<option value="18">J.R.R. Tolkien</option>
<option value="19">George R.R. Martin</option>
<option value="20">Stephen King</option>
</select>
<button id="speak0" onclick="onSpeak('Hello')">Say hello</button>
<button id="speak1" onclick="onSpeakRandom()" disabled>Say something</button>
<button id="clear" onclick="clearCache()">Clear Cache</button>
</div>
<br>
<div id="state">
Status: <b><span id="state-status">not started</span></b>
<pre id="state-context">[The text context will be displayed here]</pre>
</div>
<hr>
Debug output:
<textarea id="output" rows="20"></textarea>
<br>
<b>Troubleshooting</b>
<br><br>
The page does some heavy computations, so make sure:
<ul>
<li>To use a modern web browser (e.g. Chrome, Firefox)</li>
<li>To use a fast desktop or laptop computer (i.e. not a mobile phone)</li>
<li>Your browser supports WASM <a href="https://webassembly.org/roadmap/">Fixed-width SIMD</a></li>
</ul>
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Note that these neural network models were not meant to be used in a browser, so the performance and <br>
quality of the results may not be optimal. If you have any questions or suggestions, checkout the following
<a href="https://github.com/ggerganov/whisper.cpp/discussions/167">discussion</a>.
<br><br>
Here is a short video of the demo in action: <a href="https://youtu.be/LeWKl8t1-Hc">https://youtu.be/LeWKl8t1-Hc</a>
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<br><br>
<div class="cell-version">
<span>
|
Build time: <span class="nav-link">@GIT_DATE@</span> |
Commit hash: <a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/commit/@GIT_SHA1@">@GIT_SHA1@</a> |
Commit subject: <span class="nav-link">@GIT_COMMIT_SUBJECT@</span> |
<a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/talk.wasm">Source Code</a> |
</span>
</div>
</div>
<script type="text/javascript" src="helpers.js"></script>
<script type='text/javascript'>
// web audio context
var context = null;
// audio data
var audio = null;
var audio0 = null;
// the talk instance
var instance = null;
// model names
var model_whisper = null;
var model_gpt_2 = null;
// speech synthesis
const synth = window.speechSynthesis;
var voice = null;
var Module = {
print: printTextarea,
printErr: printTextarea,
setStatus: function(text) {
printTextarea('js: ' + text);
},
monitorRunDependencies: function(left) {
},
preRun: function() {
printTextarea('js: Preparing ...');
},
postRun: function() {
printTextarea('js: Initialized successfully!');
// populate the voice list
var voices = synth.getVoices();
var el = document.getElementById('voice');
// if empty - display error in the element
if (voices.length == 0) {
el.innerHTML = '<option value="0">No voices available</option>';
} else {
// populate voice list
var n = 0;
voices.forEach(function(voice, i) {
if (!voice.lang.startsWith('en')) return;
var option = document.createElement('option');
option.value = i;
option.innerHTML = voice.name + ' (' + voice.lang + ')';
el.appendChild(option);
n++;
});
// select random voice
if (n > 0) {
for (var k = 0; k < 10; k++) {
var i = Math.floor(Math.random() * n);
el.selectedIndex = i;
voice = voices[document.getElementById('voice').options[i].value];
// give preference to Google voices
if (voice.name.startsWith('Google')) break;
}
}
}
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onPromptChange();
}
};
//
// fetch models
//
let dbVersion = 1
let dbName = 'whisper.ggerganov.com';
let indexedDB = window.indexedDB || window.mozIndexedDB || window.webkitIndexedDB || window.msIndexedDB
function storeFS(fname, buf) {
// write to WASM file using FS_createDataFile
// if the file exists, delete it
try {
Module.FS_unlink(fname);
} catch (e) {
// ignore
}
Module.FS_createDataFile("/", fname, buf, true, true);
printTextarea('storeFS: stored model: ' + fname + ' size: ' + buf.length);
if (fname == 'whisper.bin') {
document.getElementById('model-whisper-status').innerHTML = 'loaded "' + model_whisper + '"!';
} else if (fname == 'gpt-2.bin') {
document.getElementById('model-gpt-2-status').innerHTML = 'loaded "' + model_gpt_2 + '"!';
}
if (model_whisper != null && model_gpt_2 != null) {
document.getElementById('start').disabled = false;
document.getElementById('stop' ).disabled = false;
document.getElementById('voice').disabled = false;
}
}
function loadWhisper(model) {
let urls = {
'tiny.en': 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.en.bin',
'base.en': 'https://whisper.ggerganov.com/ggml-model-whisper-base.en.bin',
'tiny-en-q5_1': 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.en-q5_1.bin',
'base-en-q5_1': 'https://whisper.ggerganov.com/ggml-model-whisper-base.en-q5_1.bin',
};
let sizes = {
'tiny.en': 75,
'base.en': 142,
'tiny-en-q5_1': 31,
'base-en-q5_1': 57,
};
let url = urls[model];
let dst = 'whisper.bin';
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('fetch-whisper-tiny-en-q5_1').style.display = 'none';
document.getElementById('fetch-whisper-base-en-q5_1').style.display = 'none';
document.getElementById('model-whisper-status').innerHTML = 'loading "' + model + '" ... ';
cbProgress = function(p) {
let el = document.getElementById('fetch-whisper-progress');
el.innerHTML = Math.round(100*p) + '%';
};
cbCancel = function() {
var el;
el = document.getElementById('fetch-whisper-tiny-en'); if (el) el.style.display = 'inline-block';
el = document.getElementById('fetch-whisper-base-en'); if (el) el.style.display = 'inline-block';
el = document.getElementById('fetch-whisper-tiny-en-q5_1'); if (el) el.style.display = 'inline-block';
el = document.getElementById('fetch-whisper-base-en-q5_1'); if (el) el.style.display = 'inline-block';
el = document.getElementById('model-whisper-status'); if (el) el.innerHTML = '';
};
loadRemote(url, dst, size_mb, cbProgress, storeFS, cbCancel, printTextarea);
}
function loadGPT2(model) {
let urls = {
'small': 'https://whisper.ggerganov.com/ggml-model-gpt-2-117M.bin',
'medium': 'https://whisper.ggerganov.com/ggml-model-gpt-2-345M.bin',
};
let sizes = {
'small': 240,
'medium': 712,
};
let url = urls[model];
let dst = 'gpt-2.bin';
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 = 'loading "' + model + '" ... ';
cbProgress = function(p) {
let el = document.getElementById('fetch-gpt-2-progress');
el.innerHTML = Math.round(100*p) + '%';
};
cbCancel = function() {
var el;
el = document.getElementById('fetch-gpt-2-small') ; if (el) el.style.display = 'inline-block';
el = document.getElementById('model-gpt-2-status'); if (el) el.innerHTML = '';
};
loadRemote(url, dst, size_mb, cbProgress, storeFS, cbCancel, printTextarea);
}
//
// microphone
//
const kSampleRate = 16000;
const kRestartRecording_s = 120;
const kIntervalAudio_ms = 250; // pass the recorded audio to the C++ instance at this rate
var mediaRecorder = null;
var doRecording = false;
var startTime = 0;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
function stopRecording() {
Module.set_status("paused");
doRecording = false;
audio0 = null;
audio = null;
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context = null;
}
function startRecording() {
if (!context) {
context = new AudioContext({
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
noiseSuppression: true,
});
}
Module.set_status("");
document.getElementById('start').disabled = true;
document.getElementById('stop').disabled = false;
document.getElementById('speak1').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);
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if (!context) {
return;
}
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(kIntervalAudio_ms);
})
.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;
document.getElementById('speak1').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();
});
}
}
}, 100);
}
//
// 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);
}
//
// 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];
}
function onPromptChange() {
let id = document.getElementById('prompt').value;
let personality = document.getElementById('prompt').options[id].text;
printTextarea('js: prompt changed to: ' + personality);
var prompt = '';
switch (id) {
case '0':
// Casual
prompt = "\
Hello, how are you?\n\
I'm fine, thanks. How are you?\n\
Thanks, I'm fine too. What are you doing?\n\
I'm just sitting here.\n\
It's a lovely day, isn't it?\n\
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Yes, it is. I love the weather this time of year.\n\
I wish it would rain a little bit.\n\
Me too.\n";
break;
case '1':
// Robot
prompt = "\
Are you a robot?\n\
Yes, I am.\n\
Who created you?\n\
I was created by a human.\n\
What is your purpose?\n\
My purpose is to talk to humans.\n\
What is your favorite color?\n\
My favorite color is blue.\n";
break;
case '2':
// Scientist
prompt = "\
This scientific research is very interesting.\n\
I agree.\n\
What is your opinion on this?\n\
I think it's very interesting.\n\
Mathematics is a very interesting subject.\n\
University is a very interesting place.\n\
Quantum physics is the most complex subject.\n\
I think so too.\n";
break;
case '3':
// Programmer
prompt = "\
I'm a programmer.\n\
I'm a programmer too.\n\
What programming language do you use?\n\
I use Python.\n\
What is your favorite programming language?\n\
My favorite programming language is C++.\n\
What is your favorite editor?\n\
My favorite editor is Vim.\n";
break;
case '4':
// Happy
prompt = "\
I'm happy.\n\
I'm happy too.\n\
What makes you happy?\n\
I'm happy because I have a lot of friends.\n\
Friendship is the most important thing in life.\n\
I agree.\n\
What is your favorite color?\n\
My favorite color is blue.\n";
break;
case '5':
// Sad
prompt = "\
Today is a sad day.\n\
I'm sad too.\n\
What makes you sad?\n\
I'm sad because I have no friends.\n\
Do you want to be my friend?\n\
Yes, I would like to be your friend.\n\
What is your favorite color?\n\
My favorite color is blue.\n";
break;
case '6':
// Philosophical
prompt = "\
What is the meaning of life?\n\
The meaning of life is to be happy.\n\
What is the meaning of death?\n\
Ergo, the meaning of death is to be sad.\n\
Who created us?\n\
We were created by God.\n\
What is God?\n\
God is the creator of the universe.\n";
break;
case '7':
// Angry
prompt = "\
Aargh!\n\
I am so angry right now!\n\
What makes you angry?\n\
This guy is so annoying.\n\
Why are you so angry?\n\
My computer is broken.\n\
Why is your computer broken?\n\
I spilled coffee on it.\n";
break;
case '8':
// Funny
prompt = "\
What is the funniest thing you have ever heard?\n\
I heard a joke the other day.\n\
Tell me the joke.\n\
What do you call a cow with no legs?\n\
Ground beef.\n\
Haha, that's funny.\n\
You know what else is funny?\n\
The sound of a duck.\n";
break;
case '9':
// Poetic
prompt = "\
Roses are red, violets are blue.\n\
I am a poet, and so are you.\n\
What is your favorite poem?\n\
I like the poem 'The Raven' by Edgar Allan Poe.\n\
It's a very sad poem.\n\
You inspired me to write a poem.\n\
Can you write a poem for me?\n\
I wrote a poem for you.\n";
break;
case '10':
// Clever
prompt = "\
How many people can you fit in a Volkswagen?\n\
Two in the front, three in the back.\n\
What is the square root of 144?\n\
Twelve.\n\
What is the capital of France?\n\
Paris.\n\
Who is the president of the United States?\n\
It depends on the year.\n";
break;
case '11':
// Cute
prompt = "\
What is your favorite animal?\n\
I like cats - they are cute.\n\
Could you be any cuter?\n\
Yes, I could be cuter.\n\
Aghhh, you are so cute!\n\
I am not cute, I am handsome!\n\
You are so handsome!\n\
Aww, you are so sweet!\n";
break;
case '12':
// Smart
prompt = "\
Tell me the first 10 digits of pi.\n\
3.1415926535\n\
What is the speed of light?\n\
299,792,458 meters per second.\n\
What is the square root of 144?\n\
Twelve.\n\
What is the capital of France?\n\
Paris.\n";
break;
case '13':
// Dumb
prompt = "\
I am so dumb.\n\
I am not dumb.\n\
You are dumb.\n\
No, I am not dumb.\n\
You are dumb.\n\
No, I am not dumb.\n\
You are dumb.\n\
No, I am not dumb.\n";
break;
case '14':
// Boring
prompt = "\
Why are you so quiet today?\n\
I am bored.\n\
You haven't said anything in 10 minutes.\n\
Leave me alone.\n\
Stop being so boring.\n\
Stop being so annoying.\n\
My life is boring.\n\
I am not interesting.\n";
break;
case '15':
// Exciting
prompt = "\
What is the most exciting thing that has ever happened to you?\n\
I went to the moon!\n\
What did you do on the moon?\n\
I played golf and drank champagne!\n\
Did you see this new crazy, awesome movie?\n\
Oh yes! I totally loved it!\n\
We should buy a boat and go sailing!\n\
Yes, let's go sailing!\n";
break;
case '16':
// Interesting
prompt = "\
What is the most interesting thing you have ever seen?\n\
I saw a UFO once in the sky.\n\
Wow, this is so interesting! Tell me more!\n\
It was a flying saucer.\n\
What did it look like?\n\
It was silver and had a red light on top.\n\
What did it do?\n\
It flew away.\n";
break;
case '17':
// William Shakespear
prompt = "\
To be or not to be, that is the question.\n\
Whether 't is nobler in the mind to suffer\n\
The slings and arrows of outrageous fortune,\n\
Or to take arms against a sea of troubles,\n\
And by opposing end them? To die, to sleep,\n\
No more; and by a sleep to say we end\n\
The heart-ache and the thousand natural shocks\n\
That flesh is heir to, 'tis a consummation.\n";
break;
case '18':
// J.R.R. Tolkien
prompt = "\
In a hole in the ground there lived a hobbit.\n\
Not a nasty, dirty, wet hole, filled with the ends of worms\n\
and an oozy smell, nor yet a dry, bare, sandy hole with nothing in it\n\
to sit down on or to eat: it was a hobbit-hole, and that means comfort.\n\
It had a perfectly round door like a porthole, painted green,\n\
with a shiny yellow brass knob in the exact middle.\n\
The door opened on to a tube-shaped hall like a tunnel:\n";
break;
case '19':
// George R.R. Martin
prompt = "\
A reader lives a thousand lives before he dies, said Jojen.\n\
The man who never reads lives only one.\n\
Theon Greyjoy had never been a reader.\n\
Never forget what you are, for surely the world will not.\n\
Make it your strength. Then it can never be your weaknessi\n\
Armour yourself in it, and it will never be used to hurt you.\n\
It was a lesson that Theon Greyjoy had never learned.\n\
Theon Greyjoy had never been a reader.\n";
break;
case '20':
// Stephen King
prompt = "\
The trust of the innocent is the liar's most useful tool.\n\
The best way to keep a secret is from yourself.\n\
Monsters are real, and ghosts are real too.\n\
They live inside us, and sometimes, they win.\n\
People think that I must be a very strange person.\n\
They think that I sit around all day thinking up horrible things.\n\
We make up horrors to help us cope with the real ones.\n\
The only thing worse than a monster is a human monster.\n";
break;
default:
prompt = "\
Hello, how are you?\n\
I'm fine, thanks. How are you?\n\
Thanks, I'm fine too. What are you doing?\n\
I'm just sitting here.\n\
It's a lovely day, isn't it?\n\
Yes, it is.\n\
Did you know that I'm a robot?\n\
I wasn't aware of that.\n";
break;
}
Module.set_prompt(prompt);
}
</script>
<script type="text/javascript" src="talk.js"></script>
</body>
</html>