OfflineCV/jd-spike.html at main · offlinecv/OfflineCV · GitHub

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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>OfflineCV — JD spike (dev only)</title>
    <meta
      name="description"
      content="Dev-only spike harness for JD requirement extraction + evidence judging (issue #198 / #156). Not part of the production bundle."
    />
    <meta name="color-scheme" content="light dark" />
    <!--
      Dev-only tool page; not subject to the design-token policy that
      governs feature code under src/components/**. CSS keeps to system
      colors (Canvas / CanvasText) so the page renders standalone without
      loading the app's design system.
    -->
    <style>
      :root {
        color-scheme: light dark;
        font-family: ui-sans-serif, system-ui, sans-serif;
      }
      body {
        max-width: 880px;
        margin: 2rem auto;
        padding: 0 1rem;
        line-height: 1.5;
        color: CanvasText;
        background: Canvas;
      }
      h1 { margin-bottom: 0.25rem; }
      .subtitle { color: GrayText; margin-top: 0; }
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      #status { font-weight: 600; margin: 1rem 0 0.25rem; }
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      #log {
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        color: Canvas;
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        font-size: 0.85rem;
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        gap: 0.75rem;
      }
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      .downloads a {
        padding: 0.5rem 0.9rem;
        border: 1px solid currentColor;
        border-radius: 6px;
        text-decoration: none;
      }
      .note {
        font-size: 0.9rem;
        color: GrayText;
        margin-top: 1.5rem;
      }
    </style>
  </head>
  <body>
    <h1>JD spike harness</h1>
    <p class="subtitle">
      Issue #198 · dev-only · WebGPU required · not bundled into production.
    </p>
    <p>
      Validates Qwen2.5-1.5B for JD requirement-extraction (call 1) and
      per-requirement evidence-judging (call 2) against 3 inline fixtures:
      <code>music-intern</code>, <code>software-engineer</code>,
      <code>years-mismatch</code>. Measures JSON reliability, token budget
      headroom, and latency over R repeats.
    </p>
    <p>
      One model per tab on purpose: cycling multi-GB models in a single tab
      is fragile on consumer GPUs. Run each model in a fresh tab, download
      its report, then open a new tab for the next model.
    </p>
    <p>
      <label for="model">Model:</label>
      <select id="model"></select>
      <label for="repeats">Repeats:</label>
      <input id="repeats" type="number" min="1" max="10" value="3" />
      <button id="run" type="button">Run spike</button>
    </p>
    <p id="status">Idle. Click &ldquo;Run spike&rdquo; to start.</p>
    <p id="progress">&nbsp;</p>
    <div class="downloads">
      <a id="download-json" hidden>Download JSON report</a>
      <a id="download-md" hidden>Download Markdown report</a>
    </div>
    <pre id="log"></pre>
    <p class="note">
      Download the Markdown report and paste findings into
      <a href="https://github.com/offlinecv/OfflineCV/issues/156" target="_blank"
        >issue #156</a
      >. This page is not committed to <code>dist/</code> — see
      <code>src/lib/webllm/spike/README.md</code> for details.
    </p>
    <script type="module" src="/src/lib/webllm/spike/jd-spike-browser.ts"></script>
  </body>
</html>