requirements.txt

# IMPORTANT: install torch FIRST from the matching CUDA wheel index, then this file.
# Otherwise pip will silently replace your CUDA torch with the CPU build from PyPI.
#
#   py -3.12 -m venv .venv
#   .venv\Scripts\activate
#   pip install --upgrade pip wheel setuptools
#   pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu126
#   pip install -r requirements.txt
#
# Why torch 2.8 + cu126 specifically:
#   - whisperx 3.8 / pyannote-audio 4.0 require torch~=2.8.0
#   - torch 2.8 is NOT on the cu121 index; cu126 is the safest match for NVIDIA driver 525+
#   - For driver 570+ you can swap cu126 -> cu128
#   - Versions of torchvision/torchaudio MUST match the torch minor version
#
# Verify after install:
#   python -c "import torch; print(torch.cuda.is_available(), torch.version.cuda)"
# If False, the CUDA wheel got clobbered — rerun the cu126 install with --force-reinstall.

yt-dlp>=2024.10.0
whisperx>=3.8.0
huggingface-hub>=0.25.0