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pyproject.toml
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59 lines (56 loc) · 1.38 KB
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[project]
authors = [
{name = "cyril.matthey-doret", email = "cyril.matthey-doret@epfl.ch"},
]
license = {text = "MIT"}
requires-python = "<4.0,>=3.10"
dependencies = [
"tqdm<5.0.0,>=4.65.0",
"sentence-transformers<3.0.0,>=2.2.2",
"python-dotenv<2.0.0,>=1.0.0",
"ipykernel<7.0.0,>=6.22.0",
"rdflib==6.3.0",
"chromadb<1.0.0,>=0.4.22",
"more-itertools<10.0.0,>=9.1.0",
"prefect<3.0.0,>=2.10.6",
"typer<1.0.0,>=0.9.0",
"bokeh==2.4.3",
"sparqlwrapper<3.0.0,>=2.0.0",
"fastapi<1.0.0,>=0.95.1",
"uvicorn<1.0.0,>=0.22.0",
"typing-extensions<5.0.0,>=4.6.3",
"protobuf==3.20",
"jupyterlab<5.0.0,>=4.0.2",
"langchain<1.0.0,>=0.0.230",
"openai<1.0.0,>=0.27.8",
"poethepoet<1.0.0,>=0.21.0",
"html5lib<2.0,>=1.1",
"anyio==3.7.1",
"testcontainers<4.0.0,>=3.7.1",
"torch==2.6.0+cpu",
"torchvision==0.21.0+cpu",
]
name = "aikg"
version = "0.1.0"
description = "Langchain-powered natural language interface to RDF knowledge-graphs"
readme = "README.md"
[dependency-groups]
local = [
"transformers<5.0.0,>=4.28.1",
]
dev = [
"black<24.0.0,>=23.3.0",
"pytest<8.0.0,>=7.3.1",
"pre-commit<4.0.0,>=3.2.2",
]
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu" },
]
torchvision = [
{ index = "pytorch-cpu" },
]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true