5e3c16659f
New sound_id.py module with SoundClassifier class that runs YAMNet (521 audio event categories) on CPU TFLite. Classifies audio every 0.5s from a ring buffer fed by the existing audio stream. Categories: speech, alert, music, animal, household, environment, silence. Smoothing via 20-sample history window for stable dominant category. New endpoints: GET /sounds, GET /sounds/history Updated: /health (sound_classification_enabled), /status (audio_scene) Graceful degradation if model files not present. Model download (not tracked in git): curl -sL 'https://tfhub.dev/google/lite-model/yamnet/classification/tflite/1?lite-format=tflite' -o models/yamnet.tflite Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
26 lines
238 B
Plaintext
26 lines
238 B
Plaintext
# Wake word models (licensed, binary)
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*.ppn
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Hey-Vivi_*/
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# ML models (downloaded separately)
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models/*.tflite
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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ENV/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# OS
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.DS_Store
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Thumbs.db
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