# --- Core training (Microwakeword) ---
torch==2.5.1
torchaudio==2.5.1
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorflow==2.18.0
tensorflow-estimator==2.13.0
tensorflow-io-gcs-filesystem==0.37.1
numpy==1.26.4
scipy==1.12.0
librosa==0.10.2.post1
soundfile==0.12.1
soxr==0.5.0.post1
audiomentations==0.38.0
webrtcvad==2.0.10
tqdm==4.67.1
scikit-learn==1.6.0
numba==0.60.0
joblib==1.4.2
pandas==2.2.3
pymicro_features @ git+https://github.com/puddly/pymicro-features@e1d3f88183e12bb8af2df9e399ea157af7393762
audio-metadata @ git+https://github.com/whatsnowplaying/audio-metadata@d4ebb238e6a401bb1a5aaaac60c9e2b3cb30929f
bitstruct==8.19.0

# --- Piper sample generation ---
piper-tts>=1.2.0
onnxruntime-gpu>=1.16.0
piper-phonemize-cross==1.2.1

# --- Notebook / tooling ---
ipykernel==6.29.5
jupyterlab==4.3.4
ipywidgets==8.1.5
matplotlib-inline==0.1.7
rich==13.9.4

# --- microWakeWord ---
-e git+https://github.com/kahrendt/microWakeWord@ac6502bf48b5e372c47ed509f5f5ca181e6d50bb#egg=microwakeword