# This is what the Hugging Face Space build actually installs (Spaces read
# requirements.txt, not pyproject.toml). Keep in sync with pyproject.toml.
#
# gradio and spaces are intentionally NOT pinned here: on a ZeroGPU Space,
# the builder already force-installs an exact `gradio[oauth,mcp]==...`
# (matching README.md's `sdk_version`) and `spaces==...` (the ZeroGPU SDK
# app.py imports for the `@spaces.GPU` decorator). Adding a second, looser
# requirement for either here only grows the resolver's search space.
#
# qwen-asr's own metadata leaves several transitive deps unpinned
# (librosa, qwen-omni-utils, flask, sox, pytz), which combined with a bare
# numpy/torch requirement makes pip's resolver back-track across a huge
# version matrix and fail with "Dependency resolution exceeded maximum
# depth". Pinning the whole chain to exact, known-mutually-compatible
# versions keeps the search space small.
#
# Two constraints this pins around, verified with `pip install --dry-run`:
#   - gradio must stay <6.18.0: 6.18.0+ requires huggingface-hub>=1.2.0,
#     which conflicts with transformers==4.57.6 (pinned by qwen-asr, needs
#     huggingface-hub<1.0). README.md's sdk_version is pinned to 6.17.3
#     to match — bump both together or not at all.
#   - Space python_version must stay 3.11 (see README.md): soynlp==0.0.493
#     (pinned by qwen-asr) fails to build on Python 3.12+.
torch==2.11.0
numpy
soundfile==0.14.0
librosa==0.11.0
qwen-omni-utils==0.0.9
flask==3.1.3
sox==1.5.0
pytz==2026.2
qwen-asr==0.0.6