41 lines
1.7 KiB
TOML
41 lines
1.7 KiB
TOML
[project]
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name = "property-map-video-tts"
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version = "0.1.0"
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description = "Qwen3-TTS narration generator for the homepage demo video."
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requires-python = ">=3.12,<3.13"
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dependencies = [
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"qwen-tts>=0.1.1",
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# Host driver is CUDA 12.4 (see `nvidia-smi`). torch 2.7+ dropped cu124
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# wheels, so we cap below that and pull the cu124 build from PyTorch's
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# own index (configured below). torchaudio must match torch's CUDA build
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# — the PyPI default ships a CUDA 13 binary that fails to load
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# libcudart.so.13 on this host.
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"torch>=2.5,<2.7",
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"torchaudio>=2.5,<2.7",
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"soundfile>=0.12",
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"numpy>=1.26",
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]
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[project.optional-dependencies]
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# Flash-attention prebuilt wheel matched to torch 2.6 + cu12 + cp312, old
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# CXX ABI (PyTorch's cu124 wheel reports compiled_with_cxx11_abi() == False
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# and only exports the old-ABI c10::Error constructor). Pinned to
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# 2.7.4.post1 because 2.8.x's torch2.6/abiFALSE wheels were mislabelled —
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# they ship new-ABI symbols and fail to import. Building from source needs
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# nvcc which isn't on the host. Enable via `uv sync --extra gpu`; render.sh
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# does this automatically when nvidia-smi reports a GPU.
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gpu = [
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"flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1%2Bcu12torch2.6cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; sys_platform == 'linux' and platform_machine == 'x86_64'",
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]
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[tool.uv]
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environments = ["sys_platform == 'linux' and python_version < '3.13'"]
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[tool.uv.sources]
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torch = [{ index = "pytorch-cu124" }]
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torchaudio = [{ index = "pytorch-cu124" }]
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[[tool.uv.index]]
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name = "pytorch-cu124"
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url = "https://download.pytorch.org/whl/cu124"
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explicit = true
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