v0.11.0:0 - Speech model patches panel (lifecycle for v0.10.0 overlays)

Folds the image/parakeet_patches/apply.sh script into a one-click
dashboard action and adds drift detection so you can see at a glance
whether the parakeet-asr container has the latest Sortformer overlays
that spark-control ships.

Backend:
  * image/app/speech_models.py - SpeechModelsManager: reads /health from
    Parakeet, sha256s the local overlay files inside spark-control's
    Docker image (/app/parakeet_patches), sha256s the same files inside
    the parakeet-asr container via `docker exec ... sha256sum`, surfaces
    in_sync / drift / missing status per file.
  * GET  /api/speech-models           - status payload
  * POST /api/speech-models/reapply   - copies overlays into container,
                                         verifies python syntax, restarts,
                                         polls /health for ~120s, returns
                                         step-by-step result
  * POST /api/speech-models/restart   - plain `docker restart parakeet-asr`

Dockerfile: now COPY parakeet_patches into the image at /app/parakeet_patches
so the runtime can read them. Future spark-control releases auto-carry
newer overlay versions; the panel surfaces drift after upgrade.

Frontend: new "Speech model patches" section on the dashboard with
  * Status pill (in sync / drift / missing)
  * Per-file SHA comparison (local vs container)
  * Loaded-models pills (ASR + diarizer)
  * Reapply + Restart buttons (both with confirmation modals)
  * Live progress display during reapply with per-step ✓/✗

Verified post-install against the running cluster:
  GET /api/speech-models shows both files in_sync (SHAs match) and both
  models loaded ready on Spark 2.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

image/Dockerfile

@@ -12,6 +12,12 @@ RUN chmod +x /app/entrypoint.sh
 
 COPY models.yaml /app/models.yaml
 
+# Parakeet container wrapper patches (diarizer.py + main.py overlay).
+# Shipped inside spark-control so the "Reapply speech-model patches" action
+# can copy these into the parakeet-asr container on Spark 2 over SSH at any
+# time — survives docker rm + redeploy of the parakeet container.
+COPY parakeet_patches /app/parakeet_patches
+
 RUN pip install --no-cache-dir -e .
 
 ENV BIND_PORT=9999