OpenAutoNLU/pyproject.toml at main · mts-ai/OpenAutoNLU · GitHub

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[project]
name = "open_autonlu"
version = "1.0.0"
description = "The framework can be useful for finetuning and few-shot learning models for classification task and NER."
authors = [
    { name = "Grigory Arshinov", email = "g.arshinov@mts.ai" },
    { name = "Daniil Karpov", email = "dankarpov90@gmail.com" },
    { name = "Daria Samsonova", email = "daria1208@ya.ru" },
    { name = "Anton Nenashev", email = "anton.nenasheff@yandex.ru" },
    { name = "Alexander Boriskin", email = "a.boriskin@mts.ai" },
    { name = "Ayaz Zaripov", email = "a.zaripov1@mts.ai" },
]
requires-python = ">=3.12, <3.13"
readme = "README.md"
license = {text = "CC-BY-NC-4.0"}
keywords = ["nlp", "text-classification", "ner", "few-shot", "setfit", "automl", "llm", "data-augmentation", "nlu", "data-quality", "python", "transformers"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "pandas==2.3.3",
    "numpy==2.3.3",
    "setfit==1.1.1",
    "sklearn-pandas==2.2.0",
    "sentence-transformers==3.4.1",
    "transformers==4.53.0",
    "datasets==2.19.1",
    "typing-extensions==4.12.2",
    "accelerate==1.12.0",
    "jsonlines==4.0.0",
    "matplotlib==3.9.0",
    "seaborn==0.13.2",
    "outlines==0.1.14",
    "openai==1.55.3",
    "mdpd==0.2.1",
    "huggingface-hub==0.36.2",
    "iobes==1.5.1",
    "seqeval==1.2.2",
    "optuna==3.6.1",
    "crowd-kit==1.4.1",
    "python-fire==0.1.0",
    "python-dotenv==1.1.0",
    "skl2onnx>=1.17.0",
    "spacy>=3.0.0",
    "iterative-stratification==0.1.9",
    "onnxruntime==1.19.2 ; sys_platform == 'darwin' or (sys_platform == 'linux' and platform_machine != 'x86_64')",
    "onnxruntime-gpu==1.19.2 ; sys_platform == 'linux' and platform_machine == 'x86_64'",
    "optimum==1.27.0",
    "onnx==1.17.0",
    "augmentex==1.3.1",
    "httpx==0.27.2",
    "onnxscript==0.2.4",
    "setuptools==78.1.1",
    "aiohttp==3.13.3",
    "h11==0.16.0",
    "nltk==3.9.3",
    "pillow==12.1.1",
    "protobuf==6.33.5",
    "tornado==6.5.4",
    "urllib3==2.6.3",
    "fonttools==4.60.2",
    "jupyter-core==5.8.0",
    "deprecated>=1.2.18",
    "scikit-learn==1.6.1",
    "streamlit==1.54.0",
    "plotly==6.5.2",
]

[project.urls]
Homepage = "https://github.com/mts-ai/OpenAutoNLU"
Repository = "https://github.com/mts-ai/OpenAutoNLU"
Issues = "https://github.com/mts-ai/OpenAutoNLU/issues"

[project.optional-dependencies]
cpu = [
    "torch==2.6.0",
    "torchdata==0.9.0 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
    "torchsummary==1.5.1 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
    "torchtext==0.18.0 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
]
cuda = [
    "torch==2.6.0",
    "torchdata==0.9.0 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
    "torchsummary==1.5.1 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
    "torchtext==0.18.0 ; platform_machine == 'x86_64' or sys_platform == 'darwin'",
]

[tool.uv]
conflicts = [
  [
    { extra = "cpu" },
    { extra = "cuda" },
  ],
]

[dependency-groups]
dev = [
    "pre-commit>=4.0.1,<5",
    "pre-commit-hooks>=5.0.0,<6",
    "ruff>=0.7.0,<0.8",
    "mypy>=1.12.1,<2",
    "pytest>=8.3.3,<9",
    "coverage>=7.6.4,<8",
    "ipykernel>=6.29.5,<7",
    "yargy>=0.16.0,<0.17",
    "nerus>=1.7.0,<2",
    "sphinx>=9.1.0",
    "sphinx-rtd-theme>=3.1.0",
    "sphinx-autodoc-typehints>=3.6.2",
    "sphinx-autoapi>=3.6.1",
]

[tool.uv.sources]
torch = [
    { index = "torch_cpu" , extra = "cpu"},
    { index = "torch_cu124" , extra = "cuda"},
]

[[tool.uv.index]]
name = "torch_cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[[tool.uv.index]]
name = "torch_cu124"
url = "https://download.pytorch.org/whl/cu124"
explicit = true

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