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emotion-analyzer
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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>Sentiment Analyzer</title>
  <style>
    :root {
      --bg: #ffffff;
      --text: #0f172a;
      --card-bg: #f8fafc;
      --border: #e2e8f0;
      --accent: #2563eb;
    }
    body {
      font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
      background-color: var(--bg);
      color: var(--text);
      max-width: 680px;
      margin: 0 auto;
      padding: 2rem 1rem;
      line-height: 1.5;
    }
    .header {
      margin-bottom: 2rem;
      border-bottom: 1px solid var(--border);
      padding-bottom: 1rem;
    }
    h1 { font-size: 1.5rem; margin: 0 0 0.5rem 0; }
    p { color: #64748b; margin: 0; font-size: 0.95rem; }
    textarea {
      width: 100%;
      height: 120px;
      padding: 0.75rem;
      border: 1px solid var(--border);
      border-radius: 6px;
      font-size: 1rem;
      box-sizing: border-box;
      resize: vertical;
      margin-bottom: 1rem;
    }
    textarea:focus {
      outline: 2px solid var(--accent);
      border-color: transparent;
    }
    button {
      background-color: var(--accent);
      color: white;
      border: none;
      padding: 0.75rem 1.5rem;
      font-size: 0.95rem;
      font-weight: 600;
      border-radius: 6px;
      cursor: pointer;
    }
    button:hover { opacity: 0.9; }
    #resultContainer {
      margin-top: 1.5rem;
      padding: 1rem;
      background-color: var(--card-bg);
      border: 1px solid var(--border);
      border-radius: 6px;
      display: none;
    }
    .status { font-weight: 600; font-size: 1.05rem; }
    .score { font-size: 0.9rem; color: #64748b; margin-top: 0.25rem; }
  </style>
</head>
<body>

  <div class="header">
    <h1>Image Sentiment Inference Engine</h1>
    <p>Executes ONNX-quantized DistilBERT models locally via Transformers.js runtime without server API calls.</p>
  </div>

  <textarea id="inputText" placeholder="Enter text to evaluate (e.g., 'The model execution speed on WebAssembly exceeds expectations.')."></textarea>
  <button id="runBtn">Run Inference</button>

  <div id="resultContainer">
    <div id="status" class="status"></div>
    <div id="score" class="score"></div>
  </div>

  <script type="module">
    import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers';

    const runBtn = document.getElementById('runBtn');
    const resultContainer = document.getElementById('resultContainer');
    const statusDiv = document.getElementById('status');
    const scoreDiv = document.getElementById('score');

    let classifier = null;

    runBtn.addEventListener('click', async () => {
      const text = document.getElementById('inputText').value.trim();
      if (!text) return;

      resultContainer.style.display = 'block';
      statusDiv.innerText = "Initializing runtime & loading quantized ONNX weights...";
      scoreDiv.innerText = "";

      try {
        if (!classifier) {
          classifier = await pipeline(
            'sentiment-analysis', 
            'Xenova/distilbert-base-uncased-finetuned-sst-2-english'
          );
        }

        statusDiv.innerText = "Running local inference...";
        const output = await classifier(text);
        const res = output[0];

        statusDiv.innerText = `Label: ${res.label}`;
        scoreDiv.innerText = `Confidence Score: ${(res.score * 100).toFixed(2)}% | Execution: WebAssembly Engine`;
      } catch (err) {
        statusDiv.innerText = "Execution Error";
        scoreDiv.innerText = err.message;
      }
    });
  </script>

</body>
</html>