GPT2Demo / index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GPT-2 Text Predictor</title>
<style>
body { font-family: system-ui, sans-serif; max-width: 650px; margin: 40px auto; padding: 0 20px; }
textarea { width: 100%; height: 120px; font-size: 16px; padding: 10px; box-sizing: border-box; }
button { padding: 12px 24px; font-size: 16px; margin-top: 10px; cursor: pointer; }
#output { margin-top: 20px; padding: 15px; background: #f0f0f0; border-radius: 6px; white-space: pre-wrap; font-size: 16px; }
.status { color: #666; font-style: italic; }
</style>
</head>
<body>
<h2>GPT-2 Text Prediction (Static SDK)</h2>
<p>Enter a prompt below to generate predictions client-side:</p>
<textarea id="prompt" placeholder="Type starting text here...">The future of artificial intelligence is</textarea>
<br>
<button id="predict-btn">Predict Next Words</button>
<div id="output">
<span class="status">Click "Predict Next Words" to run the model directly in your browser.</span>
</div>
<script type="module">
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.2';
const btn = document.getElementById('predict-btn');
const output = document.getElementById('output');
let generator = null;
btn.addEventListener('click', async () => {
const text = document.getElementById('prompt').value.trim();
if (!text) return;
btn.disabled = true;
output.innerHTML = '<span class="status">Loading ONNX model into browser...</span>';
try {
if (!generator) {
generator = await pipeline('text-generation', 'Xenova/gpt2');
}
output.innerHTML = '<span class="status">Generating prediction...</span>';
const result = await generator(text, { max_new_tokens: 25, temperature: 0.7 });
output.innerText = result[0].generated_text;
} catch (err) {
output.innerText = 'Error: ' + err.message;
} finally {
btn.disabled = false;
}
});
</script>
</body>
</html>