spencer
28012e70e0
- 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.
29 lines
641 B
TOML
29 lines
641 B
TOML
[build-system]
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requires = ["setuptools>=68", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "snorestopper"
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version = "0.1.0"
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description = "Self-hosted snore tracking and snore event detection"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"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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]
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[tool.setuptools]
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package-dir = {"" = "src"}
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[tool.setuptools.packages.find]
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where = ["src"]
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