- Implemented `storage.py` for managing metadata storage, including sample addition, retrieval, and review state management. - Created `training.py` for training a local model using Random Forest, including functions for training and predicting samples. - Developed a web interface in `app.js` for capturing audio samples, managing labels, and training the model. - Added HTML structure in `index.html` for the SnoreStopper control room with sections for sample capture, overnight gathering, training, and status display. - Styled the application with `styles.css` to enhance user experience and interface aesthetics.
11 lines
215 B
Plaintext
11 lines
215 B
Plaintext
fastapi>=0.115,<1.0
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uvicorn[standard]>=0.30,<1.0
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numpy>=2.0,<3.0
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sounddevice>=0.5,<1.0
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soundfile>=0.12,<1.0
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scipy>=1.13,<2.0
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matplotlib>=3.9,<4.0
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scikit-learn>=1.5,<2.0
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joblib>=1.4,<2.0
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python-multipart>=0.0.9,<1.0
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