pyproject.toml

[build-system]
requires = ["hatchling>=1.25"]
build-backend = "hatchling.build"

[project]
name = "pyframe-gif-video-image-moderation"
version = "0.4.0"
description = "Two-stage NSFW moderation for GIFs, videos, and images via local HuggingFace models and/or AWS Rekognition."
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "Ellis Hewes", email = "ehewes@outlook.com" }]
keywords = [
  "nsfw",
  "moderation",
  "content-moderation",
  "gif",
  "video",
  "rekognition",
  "huggingface",
  "image-classification",
]
classifiers = [
  "Development Status :: 3 - Alpha",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Operating System :: OS Independent",
  "Topic :: Multimedia :: Graphics",
  "Topic :: Scientific/Engineering :: Image Recognition",
  "Intended Audience :: Developers",
]

# Base install is intentionally light: only what frame decoding + image handling need.
# Backends (boto3 / transformers / torch / moviepy) are optional extras below.
dependencies = [
  "opencv-python-headless>=4.8",
  "numpy>=1.24",
  "Pillow>=10.0",
]

[project.optional-dependencies]
aws = ["boto3>=1.34"]
local = ["transformers>=4.40", "torch>=2.2"]
video = ["moviepy>=2.0"]
all = ["pyframe-gif-video-image-moderation[aws,local,video]"]
dev = ["build", "twine", "pytest", "ruff"]

[project.scripts]
pyframe = "pyframe.cli:main"

[project.urls]
Homepage = "https://github.com/ehewes/pyframe"
Repository = "https://github.com/ehewes/pyframe"
Issues = "https://github.com/ehewes/pyframe/issues"

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

[tool.hatch.build.targets.sdist]
only-include = ["src/pyframe", "tests", "README.md", "LICENSE"]

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