STT-Assistant/pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "stt-daemon"
version = "0.1.0"
description = "Always-on speech-to-text daemon with pre-roll buffer and a voice assistant layer"
readme = "README.md"
license = "ISC"
license-files = ["LICENSE.md"]
requires-python = ">=3.11"
authors = [{name = "Efren", email = "efren@example.com"}]
dependencies = [
    "numpy>=1.26",
    "faster-whisper>=1.1.0",
    # Floor set for the HIP allocator fix (cub_caching default on ROCm); the ROCm
    # host still needs the matching ROCm wheel, installed by scripts/install-rocm.sh.
    "ctranslate2>=4.8.4",
    "webrtcvad-wheels>=2.0.14",
    "questionary>=2.0",
    "textual>=0.80",
    # Vendored local CUDA build (cp313-only); see docs/PYWHISPERCPP.md.
    "pywhispercpp>=1.5.1 ; python_full_version == '3.13.*'",
]

[project.optional-dependencies]
portaudio = ["sounddevice>=0.4.6"]
# In-process Laya multilingual triage lane: `uv sync --extra triage`, pinned in [tool.uv.sources].
triage = ["laya"]
# In-process sherpa-onnx speaker-embedding lane. `sherpa-onnx` is a meta wheel
# that requires `sherpa-onnx-core` (the wheel bundling libonnxruntime.so); list
# it explicitly so the lock and `uv sync` always install the native runtime.
speaker = ["sherpa-onnx>=1.12.0", "sherpa-onnx-core>=1.12.0"]

[dependency-groups]
dev = ["pytest>=8", "ruff"]

[tool.uv.sources]
pywhispercpp = { path = "vendor/pywhispercpp-1.5.1-cp313-cp313-linux_x86_64.whl" }
laya = { git = "https://github.com/NandhaKishorM/laya.git", rev = "970dc8c5f63d7b886a68409493f37d569424f933" }

[project.scripts]
stt-daemon = "stt_daemon.cli:main"
stt-assistant = "stt_daemon.assistant.runner:main"
stt-ctl = "stt_daemon.ctl:main"
stt-tui = "stt_daemon.tui.app:main"

[tool.hatch.build.targets.wheel]
packages = ["src/stt_daemon"]

[tool.ruff]
target-version = "py311"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "W"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]