# CPU-only Space: the default PyPI torch wheel bundles ~2.5 GB of CUDA libraries
# that this hardware cannot use and the image size will not fit. The +cpu wheels
# come from PyTorch's own index.
--extra-index-url https://download.pytorch.org/whl/cpu

torch==2.9.1+cpu
torchvision==0.24.1+cpu

# Pinned, not floating: app.py may only use API that this exact release ships.
# 0.5.0 is the release that renamed `Detector` to `YoloNASDetector`.
modern-yolonas==0.5.0

# gradio itself is installed by the Space from `sdk_version` in README.md.
