TokenVisualizer

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PeterPinetree commited on 10 days ago

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5832682

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1 Parent(s): e78cadc

Update index.html

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index.html +98 -139

index.html CHANGED Viewed

@@ -2,51 +2,36 @@
 <html lang="en">
 <head>
   <meta charset="utf-8" />
-  <meta
-    name="viewport"
-    content="width=device-width, initial-scale=1"
-  />
-  <title>TokenVisualizer — Two-Pane</title>
   <link rel="preconnect" href="https://fonts.googleapis.com">
   <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600&family=JetBrains+Mono:wght@400;600&display=swap" rel="stylesheet">
   <style>
     :root{
-      --bg:#0b0f14;          /* black-leaning bg */
-      --text:#ffffff;        /* white */
-      --muted:#9aa4b2;
-      --accent:#38bdf8;      /* sky blue */
-      --card:#0e1624;
-      --border:#1f2a3a;
-      --chip:#111827;
-      --chip-border:#263246;
-      --chip-hover:#1a2434;
-      --mono:'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
-      --sans:Inter, system-ui, -apple-system, Segoe UI, Roboto, Ubuntu, Cantarell, Noto Sans, 'Helvetica Neue', Arial;
     }
-    *{box-sizing:border-box}
-    body{margin:0;background:radial-gradient(900px 500px at 10% -10%, #07314a, transparent),var(--bg);color:var(--text);font-family:var(--sans)}
     .container{max-width:1100px;margin:0 auto;padding:1.25rem}
-    header{padding-top:1.5rem}
-    h1{margin:.2rem 0 .4rem;font-size:1.9rem}
     .sub{color:var(--muted);margin:.25rem 0 1rem}
-    .card{background:linear-gradient(180deg,#0c1624,#0a1220);border:1px solid var(--border);border-radius:14px;padding:1rem;box-shadow:0 10px 40px rgba(0,0,0,.35)}
     label span{color:var(--muted);font-size:.9rem}
     select,textarea{width:100%;border-radius:10px;border:1px solid var(--border);background:#0a1220;color:var(--text);padding:.7rem .85rem;outline:none}
     select:focus,textarea:focus{border-color:var(--accent)}
     .controls{display:grid;gap:.8rem;margin-bottom:1rem}
     .row{display:flex;gap:.75rem;align-items:center}
-    .btn{background:var(--accent);color:#07222d;border:0;border-radius:10px;padding:.55rem .95rem;font-weight:600;cursor:pointer}
-    .btn.secondary{background:#152236;color:var(--text);border:1px solid var(--border)}
     .status{color:var(--muted)}
     .grid{display:grid;gap:1rem;grid-template-columns:1fr}
     @media (min-width:900px){.grid{grid-template-columns:1fr 1fr}}
     .head{display:flex;align-items:center;justify-content:space-between;margin-bottom:.5rem}
-    .actions .link{background:none;border:none;color:var(--accent);cursor:pointer;margin-left:.5rem}
     .tokens{display:flex;flex-wrap:wrap;gap:.5rem;max-height:360px;overflow:auto;padding:.25rem}
     .chip{border:1px solid var(--chip-border);background:var(--chip);padding:.35rem .5rem;border-radius:10px;font-family:var(--mono);font-size:.9rem;transition:background .12s,border-color .12s}
     .chip:hover{background:var(--chip-hover);border-color:var(--accent)}
     .chip.active{outline:2px solid var(--accent)}
     pre.ids{font-family:var(--mono);background:#0a1220;border:1px solid var(--border);border-radius:10px;padding:.75rem;max-height:360px;overflow:auto;white-space:pre-wrap}
     footer{color:var(--muted);text-align:center;padding:1.25rem 0 2rem}
     a{color:var(--accent)}
   </style>
@@ -54,7 +39,7 @@
 <body>
   <header class="container">
     <h1>TokenVisualizer</h1>
-    <p class="sub">See tokens and token IDs at the same time. (Runs entirely in your browser.)</p>
   </header>
   <main class="container">
@@ -62,11 +47,13 @@
       <label>
         <span>Model</span>
         <select id="model">
-          <option value="Xenova/gpt2">GPT-2 (BPE)</option>
-          <option value="Xenova/llama2-tokenizer">Llama-2 (SentencePiece/BPE)</option>
-          <option value="Xenova/mistral-tokenizer">Mistral (SentencePiece/BPE)</option>
-          <option value="Xenova/gemma-tokenizer">Gemma (SentencePiece/BPE)</option>
-          <option value="Xenova/bert-base-uncased">BERT Base Uncased (WordPiece)</option>
         </select>
       </label>
       <label>
@@ -74,176 +61,148 @@
         <textarea id="input" rows="3">Hello world! This is a tokenizer demo.</textarea>
       </label>
       <div class="row">
-        <button id="tokenize" class="btn">Tokenize</button>
         <span id="status" class="status">Loading tokenizer…</span>
       </div>
     </section>
     <section class="grid">
       <article class="card">
-        <div class="head">
-          <h3>Tokens</h3>
-          <div class="actions">
-            <button id="copyTokens" class="link">Copy</button>
-            <button id="exportTokens" class="link">Export JSON</button>
-          </div>
-        </div>
         <div id="tokens" class="tokens"></div>
       </article>
       <article class="card">
-        <div class="head">
-          <h3>Token IDs</h3>
-          <div class="actions">
-            <button id="copyIds" class="link">Copy</button>
-            <button id="exportIds" class="link">Export JSON</button>
-          </div>
-        </div>
         <pre id="ids" class="ids"></pre>
       </article>
     </section>
-    <section class="container" style="text-align:right;margin:1rem 0">
-      <button id="exportCSV" class="btn secondary">Download CSV (index, token, id)</button>
-    </section>
   </main>
   <footer class="container">
     <small>Built by Peter Adams • Powered by <a href="https://github.com/xenova/transformers.js" target="_blank" rel="noreferrer">Transformers.js</a></small>
   </footer>
-  <!-- Transformers.js (ESM) -->
   <script type="module">
     const tf = await import('https://cdn.jsdelivr.net/npm/@xenova/[email protected]');
     tf.env.useBrowserCache = true;
-    tf.env.allowLocalModels = false;
-    const $ = sel => document.querySelector(sel);
-    const el = {
-      model: $('#model'),
-      input: $('#input'),
-      btn: $('#tokenize'),
-      status: $('#status'),
-      tokens: $('#tokens'),
-      ids: $('#ids'),
-      copyTokens: $('#copyTokens'),
-      exportTokens: $('#exportTokens'),
-      copyIds: $('#copyIds'),
-      exportIds: $('#exportIds'),
-      exportCSV: $('#exportCSV'),
-    };
     let tokenizer = null;
-    let last = { tokens: [], ids: [] };
     let runId = 0;
-    function status(msg){ el.status.textContent = msg; }
-    function debounce(fn, ms=250){ let t; return (...a)=>{ clearTimeout(t); t=setTimeout(()=>fn(...a), ms); }; }
     async function loadTokenizer(modelId){
       status('Loading tokenizer…');
-      tokenizer = await tf.AutoTokenizer.from_pretrained(modelId);
-      status('Tokenizer ready.');
     }
     async function tokenize(){
       const myRun = ++runId;
-      if (!tokenizer) await loadTokenizer(el.model.value);
-      const text = el.input.value ?? '';
-      if (!text.trim()){
-        last = { tokens: [], ids: [] };
         render();
         status('Type to tokenize…');
         return;
       }
       status('Tokenizing…');
-      try{
         const enc = await tokenizer.encode(text);
-        if (myRun !== runId) return; // stale run
-        last.tokens = enc.tokens;
-        last.ids = enc.ids;
         render();
-        status(`Done. ${last.tokens.length} tokens.`);
-      }catch(err){
-        console.error(err);
         status('Error tokenizing. See console.');
       }
     }
     function render(){
       // Tokens pane
-      el.tokens.innerHTML = '';
-      last.tokens.forEach((tok, i)=>{
-        const span = document.createElement('span');
-        span.className = 'chip';
-        span.dataset.idx = i;
-        span.textContent = tok;
-        span.addEventListener('mouseenter', ()=>highlightID(i,true));
-        span.addEventListener('mouseleave', ()=>highlightID(i,false));
-        el.tokens.appendChild(span);
       });
       // IDs pane
-      el.ids.textContent = last.ids.join(' ');
-      if (!last.tokens.length) status('Type to tokenize…');
-    }
-    function highlightID(i, on){
-      if (!last.ids.length) return;
-      const parts = last.ids.map((id, idx)=> (idx===i && on ? `[${id}]` : String(id)));
-      el.ids.textContent = parts.join(' ');
-      const chip = el.tokens.querySelector(`[data-idx="${i}"]`);
-      if (chip) chip.classList.toggle('active', on);
     }
-    // Copy / Export
-    el.copyTokens.addEventListener('click', async ()=>{
-      if (!last.tokens.length) return;
-      await navigator.clipboard.writeText(last.tokens.join(' '));
-      status('Tokens copied.');
-    });
-    el.exportTokens.addEventListener('click', ()=>{
-      download('tokens.json', JSON.stringify(last.tokens, null, 2), 'application/json');
-    });
-    el.copyIds.addEventListener('click', async ()=>{
-      if (!last.ids.length) return;
-      await navigator.clipboard.writeText(last.ids.join(' '));
-      status('IDs copied.');
-    });
-    el.exportIds.addEventListener('click', ()=>{
-      download('ids.json', JSON.stringify(last.ids, null, 2), 'application/json');
-    });
-    el.exportCSV.addEventListener('click', ()=>{
-      if (!last.tokens.length) return;
-      const rows = last.tokens.map((t,i)=>[i,t,last.ids[i]]);
-      const csv = [['index','token','id'], ...rows].map(r=>r.map(csvCell).join(',')).join('\n');
-      download('tokens_and_ids.csv', csv, 'text/csv');
-    });
-    function csvCell(v){
-      const s = String(v);
-      return /[",\n]/.test(s) ? `"${s.replace(/"/g,'""')}"` : s;
-    }
-    function download(name, data, type){
-      const blob = new Blob([data], {type});
-      const url = URL.createObjectURL(blob);
-      const a = Object.assign(document.createElement('a'), {href:url, download:name});
-      a.click(); URL.revokeObjectURL(url);
     }
-    // Events
-    el.btn.addEventListener('click', tokenize);
-    el.input.addEventListener('input', debounce(tokenize, 250));
-    el.model.addEventListener('change', async ()=>{
-      tokenizer = null;
-      await loadTokenizer(el.model.value);
       tokenize();
     });
     // Initial load
-    await loadTokenizer(el.model.value);
     tokenize();
   </script>
 </body>

 <html lang="en">
 <head>
   <meta charset="utf-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1" />
+  <title>TokenVisualizer — Minimal</title>
   <link rel="preconnect" href="https://fonts.googleapis.com">
   <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600&family=JetBrains+Mono:wght@400;600&display=swap" rel="stylesheet">
   <style>
     :root{
+      --bg:#0b0f14; --text:#ffffff; --muted:#9aa4b2; --accent:#38bdf8; --border:#1f2a3a;
+      --card1:#0c1624; --card2:#0a1220; --chip:#111827; --chip-border:#263246; --chip-hover:#1a2434;
+      --mono:'JetBrains Mono',ui-monospace,Menlo,Consolas,monospace; --sans:Inter,system-ui,-apple-system,"Segoe UI",Roboto,Ubuntu,"Helvetica Neue",Arial;
     }
+    *{box-sizing:border-box} body{margin:0;background:radial-gradient(900px 500px at 10% -10%, #07314a, transparent),var(--bg);color:var(--text);font-family:var(--sans)}
     .container{max-width:1100px;margin:0 auto;padding:1.25rem}
+    header{padding-top:1.5rem} h1{margin:.2rem 0 .4rem;font-size:1.9rem}
     .sub{color:var(--muted);margin:.25rem 0 1rem}
+    .card{background:linear-gradient(180deg,var(--card1),var(--card2));border:1px solid var(--border);border-radius:14px;padding:1rem;box-shadow:0 10px 40px rgba(0,0,0,.35)}
     label span{color:var(--muted);font-size:.9rem}
     select,textarea{width:100%;border-radius:10px;border:1px solid var(--border);background:#0a1220;color:var(--text);padding:.7rem .85rem;outline:none}
     select:focus,textarea:focus{border-color:var(--accent)}
     .controls{display:grid;gap:.8rem;margin-bottom:1rem}
     .row{display:flex;gap:.75rem;align-items:center}
     .status{color:var(--muted)}
     .grid{display:grid;gap:1rem;grid-template-columns:1fr}
     @media (min-width:900px){.grid{grid-template-columns:1fr 1fr}}
     .head{display:flex;align-items:center;justify-content:space-between;margin-bottom:.5rem}
     .tokens{display:flex;flex-wrap:wrap;gap:.5rem;max-height:360px;overflow:auto;padding:.25rem}
     .chip{border:1px solid var(--chip-border);background:var(--chip);padding:.35rem .5rem;border-radius:10px;font-family:var(--mono);font-size:.9rem;transition:background .12s,border-color .12s}
     .chip:hover{background:var(--chip-hover);border-color:var(--accent)}
     .chip.active{outline:2px solid var(--accent)}
     pre.ids{font-family:var(--mono);background:#0a1220;border:1px solid var(--border);border-radius:10px;padding:.75rem;max-height:360px;overflow:auto;white-space:pre-wrap}
+    .caption{color:var(--muted);font-size:.9rem;margin-top:.5rem}
     footer{color:var(--muted);text-align:center;padding:1.25rem 0 2rem}
     a{color:var(--accent)}
   </style>
 <body>
   <header class="container">
     <h1>TokenVisualizer</h1>
+    <p class="sub">Live view of tokens and token IDs. Powered by Transformers.js — all in your browser.</p>
   </header>
   <main class="container">
       <label>
         <span>Model</span>
         <select id="model">
+          <!-- Tip: keep this first so the demo works instantly once you upload /assets/gpt2/* -->
+          <option value="local:gpt2">GPT-2 (local, fast)</option>
+          <option value="Xenova/gpt2">GPT-2 (Hub)</option>
+          <option value="Xenova/llama2-tokenizer">Llama-2 (Hub)</option>
+          <option value="Xenova/mistral-tokenizer">Mistral (Hub)</option>
+          <option value="Xenova/gemma-tokenizer">Gemma (Hub)</option>
+          <option value="Xenova/bert-base-uncased">BERT Base Uncased (Hub)</option>
         </select>
       </label>
       <label>
         <textarea id="input" rows="3">Hello world! This is a tokenizer demo.</textarea>
       </label>
       <div class="row">
         <span id="status" class="status">Loading tokenizer…</span>
       </div>
     </section>
     <section class="grid">
       <article class="card">
+        <div class="head"><h3>Tokens</h3></div>
         <div id="tokens" class="tokens"></div>
+        <p class="caption">Tokens are subword chunks the model learned from lots of text.</p>
       </article>
       <article class="card">
+        <div class="head"><h3>Token IDs</h3></div>
         <pre id="ids" class="ids"></pre>
+        <p class="caption">IDs are how the model “sees” tokens — just numbers.</p>
       </article>
     </section>
   </main>
   <footer class="container">
     <small>Built by Peter Adams • Powered by <a href="https://github.com/xenova/transformers.js" target="_blank" rel="noreferrer">Transformers.js</a></small>
   </footer>
+  <!-- Minimal, robust script (no copy/export) -->
   <script type="module">
+    // Prefer keeping all requests on huggingface.co to avoid CORS/VPN issues.
+    // Option 1 (simple): CDN import (works on many networks)
     const tf = await import('https://cdn.jsdelivr.net/npm/@xenova/[email protected]');
+    // Option 2 (bulletproof): self-host the file in your Space and use:
+    // const tf = await import('./assets/vendor/transformers.min.js');
     tf.env.useBrowserCache = true;
+    const $ = s => document.querySelector(s);
+    const modelSel = $('#model');
+    const inputEl  = $('#input');
+    const statusEl = $('#status');
+    const tokensEl = $('#tokens');
+    const idsEl    = $('#ids');
+    // Single state object; never reassign
+    const state = { tokens: [], ids: [] };
     let tokenizer = null;
     let runId = 0;
+    const status = (msg) => { statusEl.textContent = msg; };
+    const debounce = (fn, ms=200) => { let t; return (...a)=>{ clearTimeout(t); t=setTimeout(()=>fn(...a), ms); }; };
     async function loadTokenizer(modelId){
       status('Loading tokenizer…');
+      try {
+        if (modelId === 'local:gpt2') {
+          // Requires you to upload /assets/gpt2/* files into the Space
+          tokenizer = await tf.AutoTokenizer.from_pretrained('./assets/gpt2/');
+        } else {
+          tokenizer = await tf.AutoTokenizer.from_pretrained(modelId);
+        }
+        status('Tokenizer ready.');
+      } catch (e) {
+        console.error('Tokenizer load failed:', e);
+        tokenizer = null;
+        status('Failed to load tokenizer (network blocked or slow). Try GPT-2 or a different VPN route.');
+      }
     }
     async function tokenize(){
       const myRun = ++runId;
+      if (!tokenizer) {
+        await loadTokenizer(modelSel.value);
+        if (!tokenizer) { render(); return; } // keep UI stable on failure
+      }
+      const text = (inputEl.value ?? '').trim();
+      if (!text) {
+        state.tokens = [];
+        state.ids = [];
         render();
         status('Type to tokenize…');
         return;
       }
       status('Tokenizing…');
+      try {
         const enc = await tokenizer.encode(text);
+        if (myRun !== runId) return; // drop stale results
+        state.tokens = Array.isArray(enc?.tokens) ? enc.tokens : [];
+        state.ids    = Array.isArray(enc?.ids)    ? enc.ids    : [];
+        render();
+        status(`Done. ${state.tokens.length} tokens.`);
+      } catch (e) {
+        console.error('Tokenize failed:', e);
+        state.tokens = state.tokens ?? [];
+        state.ids    = state.ids ?? [];
         render();
         status('Error tokenizing. See console.');
       }
     }
     function render(){
+      const tokens = Array.isArray(state.tokens) ? state.tokens : [];
+      const ids    = Array.isArray(state.ids)    ? state.ids    : [];
       // Tokens pane
+      tokensEl.innerHTML = '';
+      tokens.forEach((tok, i) => {
+        const chip = document.createElement('span');
+        chip.className = 'chip';
+        chip.dataset.i = i;
+        chip.textContent = tok;
+        chip.addEventListener('mouseenter', ()=>highlight(i, true));
+        chip.addEventListener('mouseleave', ()=>highlight(i, false));
+        tokensEl.appendChild(chip);
       });
       // IDs pane
+      idsEl.textContent = ids.join(' ');
+      if (tokens.length === 0) status('Type to tokenize…');
     }
+    function highlight(i, on){
+      const ids = Array.isArray(state.ids) ? state.ids : [];
+      if (!ids.length) return;
+      const parts = ids.map((id, idx) => (idx === i && on) ? `[${id}]` : String(id));
+      idsEl.textContent = parts.join(' ');
+      const chip = tokensEl.querySelector(`[data-i="${i}"]`);
+      if (chip) chip.classList.toggle('active', on);
     }
+    const debounced = debounce(tokenize, 200);
+    inputEl.addEventListener('input', debounced);
+    modelSel.addEventListener('change', async ()=>{
+      tokenizer = null;                 // force reload
+      await loadTokenizer(modelSel.value);
       tokenize();
     });
     // Initial load
+    await loadTokenizer(modelSel.value);
     tokenize();
   </script>
 </body>