[project]
name = "property-map-video-tts"
version = "0.1.0"
description = "Qwen3-TTS narration generator for the homepage demo video."
requires-python = ">=3.12,<3.13"
dependencies = [
    "qwen-tts>=0.1.1",
    # Host driver is CUDA 12.4 (see `nvidia-smi`). torch 2.7+ dropped cu124
    # wheels, so we cap below that and pull the cu124 build from PyTorch's
    # own index (configured below). torchaudio must match torch's CUDA build
    # — the PyPI default ships a CUDA 13 binary that fails to load
    # libcudart.so.13 on this host.
    "torch>=2.5,<2.7",
    "torchaudio>=2.5,<2.7",
    "soundfile>=0.12",
    "numpy>=1.26",
]

[project.optional-dependencies]
# Flash-attention prebuilt wheel matched to torch 2.6 + cu12 + cp312, old
# CXX ABI (PyTorch's cu124 wheel reports compiled_with_cxx11_abi() == False
# and only exports the old-ABI c10::Error constructor). Pinned to
# 2.7.4.post1 because 2.8.x's torch2.6/abiFALSE wheels were mislabelled —
# they ship new-ABI symbols and fail to import. Building from source needs
# nvcc which isn't on the host. Enable via `uv sync --extra gpu`; render.sh
# does this automatically when nvidia-smi reports a GPU.
gpu = [
    "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'",
]

[tool.uv]
environments = ["sys_platform == 'linux' and python_version < '3.13'"]

[tool.uv.sources]
torch = [{ index = "pytorch-cu124" }]
torchaudio = [{ index = "pytorch-cu124" }]

[[tool.uv.index]]
name = "pytorch-cu124"
url = "https://download.pytorch.org/whl/cu124"
explicit = true