Update index.html
Browse files- index.html +67 -18
index.html
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<!
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<html>
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>WebGPU Free AI Space</title>
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<script src="https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.1"></script>
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<style>
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body { font-family: sans-serif; text-align: center; background: #121212; color: white; padding: 20px; }
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.container { max-width: 600px; margin: auto; background: #1e1e1e; padding: 30px; border-radius: 15px; }
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#output { margin-top: 20px; font-weight: bold; color: #00ffcc; }
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button { background: #00ffcc; border: none; padding: 10px 20px; border-radius: 5px; cursor: pointer; font-weight: bold; }
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.status { color: #888; font-size: 0.8em; margin-top: 10px; }
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</style>
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</head>
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<body>
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<div class="container">
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<h1>WebGPU AI Studio</h1>
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<p>This runs entirely in your browser using your local GPU.</p>
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<input type="file" id="upload" accept="image/*"><br><br>
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<button id="process-btn">Analyze Image</button>
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<div id="status" class="status">Model Status: Ready (WebGPU)</div>
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<div id="output">Result will appear here...</div>
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<img id="preview" style="max-width: 100%; margin-top: 20px; border-radius: 10px; display: none;">
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</div>
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<script type="module">
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const status = document.getElementById('status');
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const output = document.getElementById('output');
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const upload = document.getElementById('upload');
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const preview = document.getElementById('preview');
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const btn = document.getElementById('process-btn');
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// Load the pipeline from Transformers.js
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let classifier;
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async function init() {
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status.textContent = "Loading Model (using WebGPU)...";
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classifier = await window.Transformers.pipeline('image-classification', 'Xenova/vit-gpt2-image-captioning', {
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device: 'webgpu'
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});
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status.textContent = "Model Loaded & WebGPU Active!";
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}
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upload.onchange = (e) => {
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const file = e.target.files[0];
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preview.src = URL.createObjectURL(file);
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preview.style.display = 'block';
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};
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btn.onclick = async () => {
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if (!classifier) await init();
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if (!upload.files[0]) return alert("Please upload an image first!");
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output.textContent = "Processing...";
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const result = await classifier(preview.src);
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output.textContent = "I see: " + result[0].label;
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};
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// Auto-init on load
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init();
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</script>
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</body>
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</html>
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