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

[project]
name = "vila"
version = "1.0.0"
description = "VILA: On Pre-training for Visual Language Models"
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: Apache Software License",
]
dependencies = [
    "torch==2.3.0", "torchvision==0.18.0",
    "transformers==4.37.2", "tokenizers>=0.15.2", "sentencepiece==0.1.99", "shortuuid",
    "accelerate==0.27.2", "peft>=0.9.0", "bitsandbytes==0.41.0",
    "pydantic<2,>=1", "markdown2[all]", "numpy==1.26.0", "scikit-learn==1.2.2",
    "gradio==3.35.2", "gradio_client==0.2.9",
    "requests", "httpx==0.24.0", "uvicorn", "fastapi",
    "einops==0.6.1", "einops-exts==0.0.4", "timm==0.9.12",
    "openpyxl==3.1.2", "pytorchvideo==0.1.5", "decord==0.6.0",
    "datasets==2.16.1", "openai==1.8.0", "webdataset==0.2.86",
    "nltk==3.3", "pywsd==1.2.4", "opencv-python==4.8.0.74",
    "s2wrapper@git+https://github.com/bfshi/scaling_on_scales",
    "tyro", "pytest", "pre-commit"
]

[project.scripts]
vilarun = "llava.cli.run:main"

[project.optional-dependencies]
train = ["deepspeed==0.9.5", "ninja", "wandb"]
eval = ["word2number", "Levenshtein", "nltk", "pywsd"]

[project.urls]
"Homepage" = "https://hanlab.mit.edu/projects/vila"
"Bug Tracker" = "https://github.com/Efficient-Large-Model/VILA-Internal/issues"

[tool.black]
line-length = 120

[tool.isort]
profile = "black"
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true
line_length = 120

[tool.setuptools.packages.find]
exclude = ["assets*", "benchmark*", "docs", "dist*", "playground*", "scripts*", "tests*"]

[tool.wheel]
exclude = ["assets*", "benchmark*", "docs", "dist*", "playground*", "scripts*", "tests*"]