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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" /> |
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<title>Qwen2.5‑Coder‑3B‑Instruct — WebGPU (ONNX)</title> |
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<style> |
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:root{--bg:#0b1021;--panel:#0e1430;--text:#e9eeff;--muted:#9fb3ff;--accent:#7aa2ff;--ok:#2ecc71;--warn:#f39c12;--err:#e74c3c;--radius:14px;--border:1px solid rgba(255,255,255,.08)} |
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*{box-sizing:border-box}body{margin:0;background:radial-gradient(1200px 800px at 10% -10%,#1a2252 0%,transparent 60%),radial-gradient(1200px 800px at 110% 10%,#1b2d61 0%,transparent 60%),var(--bg);color:var(--text);font:16px/1.6 system-ui,-apple-system,Segoe UI,Roboto,Inter,Arial,sans-serif;padding:20px} |
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header{display:flex;gap:16px;align-items:center;justify-content:space-between;padding:14px 16px;border-radius:var(--radius);background:linear-gradient(180deg,rgba(255,255,255,.06),rgba(255,255,255,.02));border:var(--border)} |
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h1{margin:0;font-size:22px} |
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.muted{color:var(--muted);font-size:12px} |
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.row{display:flex;align-items:center;gap:8px;flex-wrap:wrap} |
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.card{background:linear-gradient(180deg,rgba(255,255,255,.06),rgba(255,255,255,.02));border:var(--border);border-radius:var(--radius);padding:14px;margin-top:16px} |
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textarea{width:100%;height:180px;background:var(--panel);border:var(--border);border-radius:12px;color:var(--text);padding:10px} |
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input[type="text"]{width:100%;background:var(--panel);border:var(--border);border-radius:12px;color:var(--text);padding:10px} |
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button{appearance:none;border:0;border-radius:12px;padding:10px 14px;cursor:pointer;font-weight:600;background:linear-gradient(180deg,#7aa2ff,#4e77ff);color:white} |
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button.secondary{background:linear-gradient(180deg,#7780a6,#5a6284)} |
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button.ghost{background:transparent;border:var(--border)} |
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#chat{display:flex;flex-direction:column;gap:8px;height:280px;overflow:auto;border-radius:12px;background:var(--panel);border:var(--border);padding:10px} |
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.msg{padding:10px;border-radius:10px;max-width:90%} |
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.me{background:#1b2553;align-self:flex-end} |
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.bot{background:#0b143f;align-self:flex-start} |
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#log{background:#060a1d;color:#b8d0ff;border:var(--border);border-radius:12px;height:140px;overflow:auto;padding:8px;font-size:12px} |
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.chip{display:inline-flex;align-items:center;gap:6px;border-radius:999px;padding:6px 10px;border:var(--border)} |
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.ok{background:rgba(46,204,113,.12);border-color:rgba(46,204,113,.35)} |
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.warn{background:rgba(243,156,18,.12);border-color:rgba(243,156,18,.35)} |
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.err{background:rgba(231,76,60,.12);border-color:rgba(231,76,60,.35)} |
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.examples{display:grid;grid-template-columns:repeat(auto-fill,minmax(220px,1fr));gap:10px;margin-top:10px} |
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.examples button{justify-content:flex-start} |
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.toggle{display:flex;align-items:center;gap:8px} |
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</style> |
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</head> |
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<body> |
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<header> |
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<div> |
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<h1>Qwen2.5‑Coder‑3B‑Instruct — WebGPU (ONNX)</h1> |
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<div class="muted">Pure front‑end · Transformers.js + ONNX Runtime Web · WebGPU forced</div> |
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</div> |
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<div class="row"> |
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<button id="load">Load model</button> |
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<button id="cancel" class="secondary" style="display:none;">Cancel (UI reset only)</button> |
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<button id="clearlog" class="ghost">Clear log</button> |
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</div> |
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</header> |
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<div class="card"> |
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<div class="row" style="margin-bottom:8px"> |
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<span class="chip warn">First run will download ~2.1 GB (q4, smallest ONNX). Desktop Chrome/Edge recommended.</span> |
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</div> |
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<div id="confirm" style="display:none"> |
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<p>This will download model files (~2.1 GB, quantized q4) to your browser cache and run inference via WebGPU. Proceed?</p> |
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<div class="row"> |
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<button id="confirm-yes">Yes, download now</button> |
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<button id="confirm-no" class="secondary">No, go back</button> |
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</div> |
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</div> |
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<div id="loading" style="display:none"> |
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<div class="row"> |
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<progress id="progress" value="0" max="100"></progress> |
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<span id="progress-label" class="muted">0%</span> |
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</div> |
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<div class="muted">WebGPU requires HTTPS or localhost. Chrome/Edge supported by default; Safari/Firefox may need experimental flags.</div> |
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</div> |
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<div id="ui" style="display:none"> |
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<input id="sys" type="text" placeholder="System prompt (optional): You are a senior coding assistant. Keep answers concise." /> |
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<div id="chat"></div> |
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<textarea id="prompt" placeholder="Ask something (you can paste code)…"></textarea> |
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<div class="row"> |
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<button id="send">Send</button> |
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<button id="stop" class="ghost" disabled>Stop</button> |
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<span id="status" class="chip" style="display:none"></span> |
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</div> |
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</div> |
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</div> |
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<div class="card"> |
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<h3 style="margin:6px 0">Examples</h3> |
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<div class="toggle"><input id="autorun" type="checkbox" checked/> <label for="autorun" class="muted">Auto‑run on click</label></div> |
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<div id="examples" class="examples"></div> |
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</div> |
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<div class="card"> |
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<h3 style="margin:6px 0">Debug log</h3> |
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<div id="log"></div> |
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</div> |
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<script type="module"> |
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// ================= Configuration ================= |
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const MODEL_ID = 'onnx-community/Qwen2.5-Coder-3B-Instruct'; |
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const CDN_PRIMARY = 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.0.0'; |
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const CDN_FALLBACK = 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.2'; |
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// Prefer WebGPU; gracefully fall back if unavailable |
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const device = ('gpu' in navigator) ? 'webgpu' : 'auto'; |
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// Smallest first: q4 → q4f16 → int8 → fp16 |
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const options = { |
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device, // prefer WebGPU; fallback to auto if not available |
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dtype: 'q4', // smallest ONNX weights (model_q4.onnx + .onnx_data) |
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progress_callback: setProgress, |
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}; |
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// Example presets (rendered as buttons) |
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const EXAMPLES = [ |
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{ |
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title: 'Parse Apache logs (Python)', |
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sys: 'You are a senior coding assistant. Keep answers concise and show tested code.', |
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prompt: `Write a Python function parse_log(line: str) that parses Apache combined log format into a dict with keys ip, time, method, path, status, bytes, referrer, ua. Include robust regex, timezone handling, and 5 pytest unit tests.` |
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}, |
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{ |
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title: 'Refactor callbacks → async/await (JS)', |
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sys: 'You are a pragmatic JS refactoring assistant.', |
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prompt: `Refactor this Node.js callback code to async/await with proper error handling and backpressure using streams: |
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const fs = require('fs'); |
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fs.readFile('in.txt', (e, d) => { |
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if (e) throw e; |
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fs.writeFile('out.txt', d.toString().toUpperCase(), err => { |
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if (err) throw err; |
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console.log('done'); |
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}); |
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}); |
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Provide a short explanation.` |
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}, |
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{ |
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title: 'Cohort retention SQL (Postgres)', |
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sys: 'You are a data engineer.', |
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prompt: `Given events(user_id, event_time, event_name) with sign_up and active events, write a SQL that computes weekly user retention (cohorted by signup week) as a pivoted table. Assume UTC timestamps. Explain indexes briefly.` |
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}, |
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{ |
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title: 'Unit tests with pytest', |
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sys: 'You are a Python testing expert.', |
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prompt: `Generate pytest tests for a function normalize_phone(s: str) that returns E.164 format or raises ValueError. Cover edge cases and property tests with hypothesis.` |
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}, |
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{ |
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title: 'Explain code step by step', |
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sys: 'Be a clear explainer for junior developers.', |
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prompt: `Explain the following code step by step, then suggest two improvements for readability and performance: |
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from collections import defaultdict |
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def f(nums): |
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d = defaultdict(int) |
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for x in nums: |
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d[x] += 1 |
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m = max(d.values()) |
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return [k for k, v in d.items() if v == m]` |
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}, |
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{ |
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title: 'Regex with explanation', |
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sys: 'You write readable regex with comments.', |
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prompt: `Write a single regex that matches a valid IPv4 or IPv6 address. Provide a commented, multi-line version and a short, single-line version, plus examples of matches and non-matches.` |
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}, |
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{ |
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title: 'Document a Go function', |
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sys: 'You are a Go reviewer.', |
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prompt: `Write a Go doc comment and improve the signature for a function that merges two sorted slices of ints and returns a deduplicated sorted slice. Provide a fully working example.` |
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}, |
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{ |
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title: 'GitHub Actions CI', |
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sys: 'You are a DevOps assistant.', |
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prompt: `Create a GitHub Actions workflow (YAML) that runs Python tests on 3.11, caches pip, runs flake8 + pytest, and uploads coverage to Codecov with secrets.CODECOV_TOKEN.` |
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} |
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]; |
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// ================= DOM & State ================= |
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const $ = s=>document.querySelector(s); |
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const logDiv=$('#log'), chatDiv=$('#chat'); |
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const loadBtn=$('#load'), cancelBtn=$('#cancel'); |
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const clearBtn=$('#clearlog'); |
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const ui=$('#ui'), loading=$('#loading'); |
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const pbar=$('#progress'), plabel=$('#progress-label'); |
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const sysEl=$('#sys'), promptEl=$('#prompt'); |
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const sendBtn=$('#send'), stopBtn=$('#stop'); |
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const statusChip=$('#status'); |
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const confirmBox=$('#confirm'); |
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const confirmYes=$('#confirm-yes'); |
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const confirmNo=$('#confirm-no'); |
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const exWrap=$('#examples'); |
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const autoRun=$('#autorun'); |
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let pipe=null, cancelled=false, abortGen=null; |
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// ================= Utils ================= |
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function log(...a){ |
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const s = a.map(x => (typeof x === 'string' ? x : JSON.stringify(x))).join(' '); |
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logDiv.textContent += s + ' |
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'; |
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logDiv.scrollTop = logDiv.scrollHeight; |
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console.log('[LOG]', ...a); |
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} |
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function chip(kind,text){ statusChip.className='chip '+(kind||''); statusChip.textContent=text; statusChip.style.display='inline-flex'; } |
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function clearChip(){ statusChip.style.display='none'; } |
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function setProgress(evt){ if(evt?.status==='progress'){ const pct=Math.round(Math.max(0,Math.min(100,evt.progress||0))); pbar.value=pct; plabel.textContent=`${pct}% ${evt?.name||evt?.file||''}`.trim(); } else if(evt?.status){ log(`status: ${evt.status} ${evt?.name||evt?.file||''}`); } } |
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window.addEventListener('error',e=>log('window.error:',e.message,e.filename,`${e.lineno}:${e.colno}`)); |
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window.addEventListener('unhandledrejection',e=>log('unhandledrejection:',e.reason?.message||e.reason)); |
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async function importTransformers(){ |
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try{ log('Importing library:',CDN_PRIMARY); return await import(CDN_PRIMARY); } |
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catch(e){ log('Primary failed, fallback:',CDN_FALLBACK,e?.message); return await import(CDN_FALLBACK); } |
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} |
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function renderExamples(){ |
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exWrap.innerHTML=''; |
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EXAMPLES.forEach((ex)=>{ |
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const b=document.createElement('button'); |
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b.textContent=ex.title; b.className='ghost'; |
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b.addEventListener('click',()=>{ |
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sysEl.value = ex.sys || ''; |
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promptEl.value = ex.prompt || ''; |
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if(autoRun.checked){ sendBtn.click(); } |
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}); |
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exWrap.appendChild(b); |
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}); |
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} |
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renderExamples(); |
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// ================= Events ================= |
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loadBtn.addEventListener('click', ()=>{ |
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loadBtn.style.display='none'; |
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confirmBox.style.display='block'; |
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}); |
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confirmNo.addEventListener('click', ()=>{ |
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confirmBox.style.display='none'; |
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loadBtn.style.display='inline-block'; |
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}); |
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confirmYes.addEventListener('click', async ()=>{ |
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try{ |
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cancelled=false; confirmBox.style.display='none'; |
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cancelBtn.style.display='inline-block'; |
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loading.style.display='block'; pbar.value=0; plabel.textContent='0%'; |
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const { pipeline } = await importTransformers(); |
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if (device !== 'webgpu') { |
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log('WebGPU not detected; falling back to device=auto (WASM/CPU).'); |
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chip('warn','WebGPU not detected — using auto'); |
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} else { |
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log('WebGPU detected.'); |
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} |
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log('Transformers.js loaded. Creating text-generation pipeline…'); |
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pipe = await pipeline('text-generation', MODEL_ID, options); |
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if(cancelled) log('Note: cancel only resets UI and cannot interrupt underlying downloads.'); |
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loading.style.display='none'; cancelBtn.style.display='none'; ui.style.display='block'; |
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chip('ok','Model ready'); setTimeout(clearChip,1200); |
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}catch(err){ |
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loading.style.display='none'; cancelBtn.style.display='none'; loadBtn.style.display='inline-block'; |
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log('❌ Load failed:', err?.message||err); |
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if((err?.message||'').includes('404')) log('Check repo ID or private permissions:', MODEL_ID); |
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log('Reminder: Transformers.js expects ONNX weights under an onnx/ directory with proper configs.'); |
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} |
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}); |
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cancelBtn.addEventListener('click',()=>{ cancelled=true; loadBtn.style.display='inline-block'; cancelBtn.style.display='none'; loading.style.display='none'; log('Canceled (UI only).'); }); |
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clearBtn.addEventListener('click',()=>{ logDiv.textContent=''; }); |
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function addMsg(text, me=false){ const d=document.createElement('div'); d.className='msg '+(me?'me':'bot'); d.textContent=text; chatDiv.appendChild(d); chatDiv.scrollTop=chatDiv.scrollHeight; return d; } |
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sendBtn.addEventListener('click', async ()=>{ |
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try{ |
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if(!pipe) return chip('warn','Model not loaded'); |
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const user=promptEl.value.trim(); if(!user) return; promptEl.value=''; |
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const sys=sysEl.value.trim(); |
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addMsg(user,true); |
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const botEl=addMsg('…'); |
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stopBtn.disabled=false; chip('', 'Generating…'); |
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let outText=''; |
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abortGen = new AbortController(); |
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const sysPrefix = sys ? `[SYSTEM] |
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${sys} |
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` : ''; |
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const promptText = `${sysPrefix}[USER] |
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${user} |
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[ASSISTANT] |
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`; |
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const gen = await pipe( |
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promptText, |
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{ |
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max_new_tokens: 256, |
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temperature: 0.7, |
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top_p: 0.9, |
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repetition_penalty: 1.05, |
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callback_function: (x)=>{ outText += x; botEl.textContent = outText; }, |
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signal: abortGen.signal, |
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} |
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); |
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if(typeof gen?.[0]?.generated_text === 'string' && !outText){ botEl.textContent = gen[0].generated_text; } |
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chip('ok','Done'); setTimeout(clearChip, 1200); |
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}catch(err){ |
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if(err?.name==='AbortError'){ chip('warn','Stopped'); setTimeout(clearChip,1200); return; } |
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log('❌ Generation error:', err?.message||err); |
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chip('err','Generation failed'); |
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}finally{ stopBtn.disabled=true; abortGen=null; } |
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}); |
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stopBtn.addEventListener('click',()=>{ try{ abortGen?.abort(); }catch{} }); |
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</script> |
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</body> |
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</html> |
