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index.html
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index.html
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<!DOCTYPE html>
<html>
<head>
<title>WebGPU GPT Model Demo</title>
<meta
http-equiv="origin-trial"
content="Anx9P4m5tzLOL/wLICKy/mA+DRyoSsTkyqmnK5t+S7oyw7A2SeBI2jO4LKqoQiQgChP2MTtqMNKofelMwvGtPQsAAABKeyJvcmlnaW4iOiJodHRwczovL2ttZWFucy5vcmc6NDQzIiwiZmVhdHVyZSI6IldlYkdQVSIsImV4cGlyeSI6MTY5MTcxMTk5OX0="
/>
<script src="tokenizer.js"></script>
<script src="instructions.js"></script>
<script src="model.js"></script>
<script src="visuals.js"></script>
<script src="globals.js"></script>
</head>
<body>
<h1>WebGPU GPT Model Demo</h1>
<p id="webgpuSupportMessage">Checking WebGPU support...</p>
<p>
<i>PS: Loading models is 5x slower on the web rather than running locally. Just <a href="https://github.com/0hq/WebGPT">clone the repo</a> and open!</i>
</p>
<button class="loadModelButton" onclick="loadModel('better_shakespeare', 'char')" disabled>Load Shakespeare Model</button>
<button class="loadModelButton" onclick="loadModel('gpt2', 'bpe')" disabled>Load GPT2 117M Model</button>
<button id="destroyCacheButton" onclick="destroyCache()" disabled>Destroy Cache</button>
<p>
<i>Special models (download required):</i>
</p>
<button class="loadModelButton" onclick="loadModel('large-models/gpt2-medium', 'bpe')" disabled>Load GPT2 377M Model</button>
<button class="loadModelButton" onclick="loadModel('large-models/gpt2-large', 'bpe')" disabled>Load GPT2 777M Model</button>
<button class="loadModelButton" onclick="loadModel('large-models/gpt2-xl', 'bpe')" disabled>Load GPT2 1.5B Model</button>
<br />
<br />
<label for="tokens">Number of tokens:</label>
<input type="number" min="1" max="300" value="100" id="tokensInput" disabled />
<br /><br />
<label for="topK">Top K:</label>
<input type="number" min="1" max="100" value="2" id="topKInput" disabled />
<br /><br />
<label for="temperature">Temperature:</label>
<input type="number" step="0.01" min="0.1" max="2" value="1" id="temperatureInput" disabled />
<br /><br />
<button id="generateButton" onclick="startGeneration()" disabled>Generate Text</button>
<br /><br />
<textarea id="prompt" rows="15" cols="50" disabled>
WILL:
Ah, how dare you challenge me?
Have you forgotten I built WebGPT? </textarea
>
<br /><br />
<button id="updateVisuals" onclick="updateVisuals()" disabled>Force Update Visuals</button>
<br /><br />
<div id="visualsContainer"></div>
<script>
const webgpuSupportMessage = document.getElementById("webgpuSupportMessage");
const loadModelButton = document.getElementsByClassName("loadModelButton");
const setModelButtonDisabled = (bool) => {
for (let i = 0; i < loadModelButton.length; i++) loadModelButton[i].disabled = bool;
};
const destroyCacheButton = document.getElementById("destroyCacheButton");
const tokensInput = document.getElementById("tokensInput");
const topKInput = document.getElementById("topKInput");
const temperatureInput = document.getElementById("temperatureInput");
const generateButton = document.getElementById("generateButton");
const promptTextarea = document.getElementById("prompt");
const updateVisualsButton = document.getElementById("updateVisuals");
let GPTModel = null;
let visuals = null;
// Check for WebGPU support
if (!navigator.gpu) {
webgpuSupportMessage.innerHTML =
"WebGPU is not supported in your browser yet. Update Chrome to v113 or download <a href='https://www.google.com/chrome/canary/'>Chrome Canary</a>. Also available on <a href='https://www.microsoftedgeinsider.com/en-us/download/canary'>Edge Canary</a>.";
console.error("WebGPU is not supported");
} else {
webgpuSupportMessage.innerHTML = "WebGPU is supported in your browser!";
setModelButtonDisabled(false);
}
async function startGeneration() {
setTextareaDisabled(true);
const prompt = promptTextarea.value || " ";
const numTokens = tokensInput.value;
const topK = topKInput.value;
const temperature = temperatureInput.value;
const textStream = GPTModel.generate(prompt, numTokens, topK, temperature);
for await (const text of textStream) {
promptTextarea.value += text;
visuals.render();
}
setTextareaDisabled(false);
}
async function loadModel(folder, tokenizer) {
setModelButtonDisabled(true);
GPTModel = new GPT(folder, tokenizer);
await GPTModel.initialize();
promptTextarea.value = GPTModel.defaultPrompt;
topKInput.value = GPTModel.defaultTopK;
tokensInput.value = GPTModel.defaultTokens;
temperatureInput.value = GPTModel.defaultTemperature;
setTextareaDisabled(false);
tokensInput.disabled = false;
topKInput.disabled = false;
temperatureInput.disabled = false;
destroyCacheButton.disabled = false;
updateVisualsButton.disabled = false;
if (!visuals) {
visuals = new Visuals(GPTModel);
visuals.init();
visuals.render();
}
}
function setTextareaDisabled(bool) {
promptTextarea.disabled = bool;
generateButton.disabled = bool;
}
async function continueGeneration() {
setTextareaDisabled(true);
const prompt = outputDiv.innerHTML || " ";
const numTokens = tokensInput.value;
outputDiv.innerHTML = prompt;
const topK = topKInput.value;
const temperature = temperatureInput.value;
const textStream = generate(prompt, numTokens, 10, topK, temperature);
for await (const text of textStream) {
outputDiv.innerHTML += text;
}
setTextareaDisabled(false);
}
function destroyCache() {
GPTModel.unloadBuffers();
destroyOperations();
GPTModel = null;
visuals.destroy();
visuals = null;
setModelButtonDisabled(false);
destroyCacheButton.disabled = true;
tokensInput.disabled = true;
topKInput.disabled = true;
temperatureInput.disabled = true;
updateVisualsButton.disabled = true;
setTextareaDisabled(true);
}
function updateVisuals() {
visuals.render();
}
</script>
</body>
</html>