{# Settings → Pipeline models (configurable pipeline models): a READ-ONLY view of
   the model each service is running right now, read live from its /healthz. Model
   selection is deployment-owned (env/compose/installer), so this panel has no
   form and no POST: it reports what the running containers say and points at the
   .env keys that change it. Renders from _settings_context (pipeline_models =
   collect_service_identity(settings)). Never renders HF_TOKEN. #}
<section id="pipeline-models" aria-labelledby="pipeline-models-heading">
<h2 id="pipeline-models-heading">Pipeline models</h2>
<p class="muted">The models Voxint is running right now for transcription, speaker
   diarization, and speaker embedding. This is read from each service as the page
   loads, so it shows what is actually running. You cannot change models here.
   Models are chosen when Voxint is installed or configured, and changing one is a
   quick edit followed by a restart, described below.</p>

{% for svc in pipeline_models %}
<div class="model-stage">
  <h3>{{ svc.label }}</h3>
  {% if not svc.reachable %}
  <p class="notice" role="status">Unavailable ({{ svc.detail }}). Voxint cannot read
     this service right now, so its identity cannot be shown and jobs that need it
     will not run until it is back. Its address is <code>{{ svc.url }}</code>.</p>
  {% else %}
  <dl>
    <dt>Model</dt>
    <dd>{% if svc.model %}<code>{{ svc.model }}</code>{% else %}<span class="muted">no model name reported</span>{% endif %}</dd>
    {% if svc.engine %}<dt>Engine</dt><dd><code>{{ svc.engine }}</code></dd>{% endif %}
    {% if svc.revision %}<dt>Revision</dt><dd><code>{{ svc.revision }}</code></dd>{% endif %}
  </dl>
  {% if not svc.configurable %}
  <p class="muted">This model is fixed. Voxint depends on it for speaker identity,
     so it is not something you change.</p>
  {% elif svc.verdict == 'validated' %}
  <p class="muted">This is the validated model. Voxint's accuracy is measured
     against it.</p>
  {% elif svc.verdict == 'mismatch' %}
  {% if svc.role == 'asr' %}
  <p class="notice" role="alert">⚠ This reports the validated model name, but it is
     running a different version of the weights, so the results cannot be trusted.
     This happens when <code>WHISPER_REVISION</code> is set to a version other than
     the one that ships with Voxint. Remove <code>WHISPER_REVISION</code> from your
     <code>.env</code> (or set it back to the built-in value) and restart the
     transcription service to return to the validated model.</p>
  {% elif svc.identity_axis == 'config' %}
  <p class="notice" role="alert">⚠ This reports the validated model name, but its
     clustering configuration does not match the validated one, so the results
     cannot be trusted. This happens when a
     <code>PYANNOTE_CLUSTERING_THRESHOLD</code>,
     <code>PYANNOTE_CLUSTERING_MIN_SIZE</code>,
     <code>PYANNOTE_SEGMENTATION_STEP</code>, or
     <code>PYANNOTE_MIN_DURATION_OFF</code> value differs from the validated
     default. Set those back to their built-in values (or remove them from your
     <code>.env</code>) and restart the speaker diarization service.</p>
  {% else %}
  <p class="notice" role="alert">⚠ This reports the validated model name, but the
     loaded model files do not match the validated ones. The results cannot be
     trusted. This usually means the image or its model files were changed or are
     incomplete: re-pull or rebuild the service to restore the validated model.</p>
  {% endif %}
  {% elif svc.verdict == 'unverified' %}
  {% if svc.identity_axis == 'config' %}
  <p class="notice" role="alert">⚠ This reports the validated model name, but Voxint
     cannot verify its clustering configuration on this deployment, so it is not
     treated as validated. This happens when the pipeline is loaded from an online
     source instead of the files that ship with Voxint. Use the built-in default for
     a verified install.</p>
  {% else %}
  <p class="notice" role="alert">⚠ This reports the validated model name, but Voxint
     cannot verify the loaded model files on this deployment, so it is not treated
     as validated. This happens when the model is loaded from an online source
     instead of the files that ship with Voxint. Use the built-in default for a
     verified install.</p>
  {% endif %}
  {% elif svc.verdict == 'unvalidated' %}
  <p class="notice" role="alert">⚠ This is not the validated model. It runs, but its
     accuracy has not been measured and the results may be unreliable. Only
     <code>large-v2</code> for transcription and
     <code>pyannote/speaker-diarization-3.1</code> for diarization are validated.
     If you did not mean to change this, set it back using the keys below.</p>
  {% else %}
  <p class="notice" role="status">Voxint could not classify this model's identity.
     Check that the service is running the validated default, described below.</p>
  {% endif %}
  {% endif %}
</div>
{% endfor %}

<h3>How to change a model</h3>
<p class="muted">Models are set in your <code>.env</code> file, then applied by
   restarting the one service that changed. Only that service restarts, so the rest
   of Voxint keeps running.</p>
<ul>
  <li><strong>Transcription:</strong> <code>WHISPER_MODEL</code>,
      <code>WHISPER_REVISION</code>, <code>WHISPER_ALLOW_DOWNLOAD</code></li>
  <li><strong>Speaker diarization:</strong> <code>DIARIZER_MODEL_NAME</code>,
      <code>DIARIZER_REVISION</code> (and <code>HF_TOKEN</code> for a gated
      pipeline)</li>
</ul>
<p class="muted">After editing <code>.env</code>, restart just that service, for
   example <code>docker compose ... up -d whisper</code>, and only its container is
   recreated. A larger model takes longer to load and to run, and the first start
   downloads it. For the exact steps, the validated-versus-unvalidated tradeoff, and
   the timeout note for slower models, see the "Changing pipeline models" guide.</p>
</section>