pyproject.toml

[tool.black]
line-length = 240

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "llavaction"
version = "0.0.1"
description = "LLaVAction: Evaluating and Training Multi-Modal Large Language Models for Action Recognition"
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: Apache Software License",
]

[project.optional-dependencies]
standalone = [
    "shortuuid",
    "httpx==0.24.0",
    "einops",
    "ftfy",
]


train = [
    "llavaction[standalone]",
    "open_clip_torch",
    "fastapi",
    "markdown2[all]",
    "numpy",
    "requests",
    "sentencepiece",
    "uvicorn",
    "wandb",
    "deepspeed==0.14.4",
    "peft==0.4.0",
    "bitsandbytes==0.41.0",
    "einops==0.6.1",
    "einops-exts==0.0.4",
    "gradio_client==0.2.9",
    "urllib3<=2.0.0",
    "pydantic==1.10.8",
    "hf_transfer",
    "opencv-python",
    "av",
    "decord",
    "tyro",
    "scipy",
]


[tool.setuptools.packages.find]
include = ["llavaction*"]
exclude = [
    "assets*",
    "benchmark*",
    "docs",
    "dist*",
    "playground*",
    "scripts*",
    "tests*",
    "checkpoints*",
    "project_checkpoints*",
    "debug_checkpoints*",
    "mlx_configs*",
    "wandb*",
    "notebooks*",
]

[tool.wheel]
exclude = [
    "assets*",
    "benchmark*",
    "docs",
    "dist*",
    "playground*",
    "scripts*",
    "tests*",
    "checkpoints*",
    "project_checkpoints*",
    "debug_checkpoints*",
    "mlx_configs*",
    "wandb*",
    "notebooks*",
]