prewarm_default_model loaded the model and returned. That moves the
model into RAM, but whisper.cpp still allocates its context window +
fills GPU shader caches on the first inference call — producing the
~4–5 s cold-start latency documented in ufal/whisper_streaming #96
and #135 that feels like "Kon dropped my first sentence."
Extend the pre-warm task: after engine.load, feed one second of
silence (16000 zero samples at 16 kHz) through transcribe_sync with
default options. Silence returns empty segments; the *work* is the
context allocation, which now happens at app boot rather than on the
user's first hotkey press.
Net: the user's first real dictation should complete within ~1.5× the
steady-state RTF they'll see on subsequent runs, satisfying the A.1
#23 acceptance criterion. No new public API; all inside the existing
spawn_blocking.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Jake
e10f435eb1