pyproject.toml

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

[project]
name = "helmcode-whisper"
version = "0.1.0"
description = "Self-hosted meeting notes: records mic + system audio, transcribes with Whisper on Helmcode, diarizes locally with pyannote, and writes structured notes with DeepSeek V4 Flash."
readme = "README.md"
requires-python = ">=3.11"
license = { text = "Apache-2.0" }
authors = [{ name = "Helmcode" }]
keywords = ["meetings", "transcription", "whisper", "diarization", "self-hosted", "privacy"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Environment :: Console",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Multimedia :: Sound/Audio :: Speech",
]

dependencies = [
    "typer>=0.12",
    "rich>=13.7",
    "httpx>=0.27",
    "python-dotenv>=1.0",
    "numpy>=1.26",
    "sounddevice>=0.4.6",
    "soundfile>=0.12",
    "webrtcvad-wheels>=2.0.14",
    "pyaudiowpatch>=0.2.12.7; sys_platform == 'win32'",
]

[project.optional-dependencies]
# Local speaker diarization. Never leaves the machine; the weights are a one-time
# download from Hugging Face. Heavy (pulls torch), which is why it is opt-in.
diarize = [
    "pyannote.audio>=3.1",
    "torch>=2.2",
]
dev = [
    "pytest>=8.0",
    "ruff>=0.6",
]

[project.scripts]
helmcode-whisper = "helmcode_whisper.cli:main"
hcw = "helmcode_whisper.cli:main"

[project.urls]
Homepage = "https://helmcode.com"
Source = "https://github.com/helmcode/helmcode-whisper"

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

[tool.hatch.build.targets.wheel.force-include]
"templates" = "helmcode_whisper/templates"

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

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]

[tool.pytest.ini_options]
testpaths = ["tests"]