Spaces:
Running
Running
gpu test
Browse files- index.html +70 -19
index.html
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>WebGPU 冒烟测试</title>
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<style>
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body { font-family: sans-serif; padding: 20px; line-height: 1.6; }
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.box { background: #f0f0f0; padding: 15px; border-radius: 8px; margin-bottom: 10px; }
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.success { color: green; font-weight: bold; }
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.error { color: red; font-weight: bold; }
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button { font-size: 16px; padding: 10px 20px; cursor: pointer; }
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</style>
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</head>
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<body>
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<h1>🔥 冒烟测试 (Smoke Test)</h1>
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<p>如果下面两步都显示绿色，说明你的“地基”已经搭好了。</p>
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<div class="box">
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<h3>1. 环境检查</h3>
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<div id="env-status">正在检查浏览器环境...</div>
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</div>
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<div class="box">
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<h3>2. 模型加载测试 (Whisper-Tiny)</h3>
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<p>点击按钮，测试是否能从 Hugging Face 拉取模型到本地。</p>
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<button id="load-btn">开始加载模型</button>
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<div id="model-status" style="margin-top:10px; color:#666;">等待指令...</div>
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</div>
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<script type="module">
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// 引入库
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import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.2';
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const envStatus = document.getElementById('env-status');
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const modelStatus = document.getElementById('model-status');
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const btn = document.getElementById('load-btn');
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// 1. 环境检查逻辑
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// 简单检查 navigator.gpu 是否存在 (这是 WebGPU 的标志)
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if ("gpu" in navigator) {
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envStatus.innerHTML = "✅ 检测到 WebGPU 支持！你的浏览器很棒。";
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envStatus.className = "success";
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} else {
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envStatus.innerHTML = "⚠️ 未检测到 WebGPU，将回退到 WASM (CPU) 模式，速度会慢一些，但也能用。";
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envStatus.className = "error"; // 其实不算致命错误，只是性能会差
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}
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// 2. 模型加载逻辑
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btn.addEventListener('click', async () => {
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btn.disabled = true;
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modelStatus.innerText = "⏳ 正在连接 HF Hub 下载模型 (约 40MB)...";
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try {
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// 尝试加载最小的语音识别模型
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let pipe = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny');
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modelStatus.innerHTML = "✅ 模型加载成功！引擎已就绪。";
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modelStatus.className = "success";
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console.log(pipe); // 在控制台打印模型对象
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} catch (err) {
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modelStatus.innerHTML = "❌ 加载失败: " + err.message;
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modelStatus.className = "error";
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console.error(err);
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btn.disabled = false;
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}
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});
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</script>
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</body>
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</html>
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