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pyproject.toml
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69 lines (63 loc) · 1.91 KB
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[build-system]
requires = ["setuptools>=42", "wheel", "setuptools_scm"]
build-backend = "setuptools.build_meta"
[project]
name = "larch"
version = "0.2.1-alpha"
description = "LLM toolbox"
readme = "README.md"
authors = [{email = "np0069@uah.edu"}]
license = {file = "LICENSE"}
keywords = ["machine learning", "neural network", "transformers", "large language models", "nlp", "natural language processing", "retrieval-augmented generation", "RAG", "metadata extraction", "metadata validation"]
classifiers = [
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX",
"Operating System :: Unix",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Topic :: Natural Language Processing",
"Topic :: NLP",
"Topic :: Large Language Model",
"Topic :: LLM",
]
requires-python = ">=3.8"
urls = { "Homepage" = "https://github.com/NASA-IMPACT/larch" }
dependencies = [
"deepdiff==6.6.1",
"instructor==0.4.8",
"joblib==1.3.2",
"langchain==0.1.5",
"langchain-openai==0.0.5",
"langchain-experimental==0.0.50",
"loguru==0.7.2",
"openai==1.11.0",
"pgvector==0.2.4",
"psycopg2-binary==2.9.9",
"pynequa==0.2.0",
"pytest==7.4.4",
"pytest-cov==4.1.0",
"rapidfuzz==3.4.0",
"tiktoken==0.5.2",
"tqdm==4.66.3",
]
[tool.setuptools]
packages = ["larch", "larch.metadata", "larch.retrievers", "larch.search", "larch.indexing", "larch.sql"]
[tool.setuptools_scm]
write_to = "larch/__version__.py"
[project.optional-dependencies]
url-loaders = [
"unstructured>=0.12.3",
"unstructured-client>=0.17.0",
"python-magic>=0.4.27",
"python-magic-bin>=0.4.14",
]
paperqa = ["paper-qa"]
extras = [
"pandas>=2.1.4",
"spacy==3.7.2"
]