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Preloads start, stop, and error sounds during application initialization. This moves the I/O cost (loading WAV files) from the critical path (first user interaction) to the startup phase, ensuring instant auditory feedback when the user toggles recording. - Added `preload_start`, `preload_stop`, `preload_error` to `AudioFeedback` - Calls these methods in `ChirpApp.__init__` - Uses `_ensure_cached` to populate the existing cache mechanism without playback Co-authored-by: Whamp <1115485+Whamp@users.noreply.github.com>
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User description
⚡ Bolt: Preload audio feedback to minimize latency
💡 What: Added logic to preload audio feedback assets (start/stop/error sounds) during application initialization.
🎯 Why: Previously, sounds were loaded lazily on first playback. This added I/O latency to the first "start recording" action, potentially causing the user to start speaking before the system was ready or feeling that the app was sluggish.
📊 Impact: Removes file I/O latency (tens of milliseconds) from the first user interaction.
🔬 Measurement: Verified with
verify_preload.pythat assets are cached beforeplay_startis called. Existing tests pass.PR created automatically by Jules for task 1765130746846313085 started by @Whamp
PR Type
Enhancement
Description
Preload audio feedback assets during app initialization
Moves I/O latency from critical user interaction path to startup phase
Adds
preload_start,preload_stop,preload_errormethods toAudioFeedbackImplements
_ensure_cachedhelper to populate cache without playbackDiagram Walkthrough
File Walkthrough
audio_feedback.py
Add audio asset preloading methodssrc/chirp/audio_feedback.py
preload_start,preload_stop,preload_error_ensure_cachedhelper method to load and cache audioassets without playback
operations
main.py
Trigger audio preloading during app startupsrc/chirp/main.py
preload_start,preload_stop,preload_errorduringChirpApp.__init__AudioFeedbackinitialization but before appis ready
bolt.md
Document audio preloading optimization rationale.jules/bolt.md
optimization
interaction)
with model loading)