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pyproject.toml
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93 lines (85 loc) · 2.08 KB
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[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "chipRAG"
version = "1.0.0"
requires-python = ">=3.11"
authors = [
{ name = "Elias Schubert", email = "eschubert.mail@gmail.com" }
]
description = "A customized Retrieval-Augmented Generation (RAG) pipeline designed to compare Maximum Residue Limit (MRL) values from Chinese food safety standard (GB) PDFs with those from the EU DataLake."
readme = "README.md"
license = { text = "MIT" }
keywords = ["structured data", "RAG", "LLM"]
classifiers = [
"Programming Language :: Python"
]
dependencies = [
"annotated-types==0.7.0",
"anyio==4.9.0",
"asttokens==3.0.0",
"certifi==2025.4.26",
"charset-normalizer==3.4.2",
"colorama==0.4.6",
"comm==0.2.2",
"debugpy==1.8.14",
"decorator==5.2.1",
"distro==1.9.0",
"et_xmlfile==2.0.0",
"executing==2.2.0",
"h11==0.16.0",
"httpcore==1.0.9",
"httpx==0.28.1",
"idna==3.10",
"ipykernel==6.29.5",
"ipython==9.2.0",
"ipython_pygments_lexers==1.1.1",
"jedi==0.19.2",
"jiter==0.10.0",
"jupyter_client==8.6.3",
"jupyter_core==5.7.2",
"matplotlib-inline==0.1.7",
"nest-asyncio==1.6.0",
"numpy==2.2.6",
"openai==1.82.0",
"openpyxl==3.1.5",
"packaging==25.0",
"pandas==2.2.3",
"parso==0.8.4",
"platformdirs==4.3.8",
"prompt_toolkit==3.0.51",
"psutil==7.0.0",
"psycopg2==2.9.10",
"pure_eval==0.2.3",
"pyaml==25.1.0",
"pydantic==2.11.5",
"pydantic-settings==2.9.1",
"pydantic_core==2.33.2",
"Pygments==2.19.1",
"PyMuPDF==1.26.0",
"python-dateutil==2.9.0.post0",
"python-dotenv==1.1.0",
"pytz==2025.2",
"PyYAML==6.0.2",
"pyzmq==26.4.0",
"RapidFuzz==3.13.0",
"requests==2.32.3",
"six==1.17.0",
"sniffio==1.3.1",
"stack-data==0.6.3",
"tornado==6.5.1",
"tqdm==4.67.1",
"traitlets==5.14.3",
"typing-inspection==0.4.1",
"typing_extensions==4.13.2",
"tzdata==2025.2",
"urllib3==2.4.0",
"wcwidth==0.2.13"
]
[project.urls]
Repository = "https://github.com/Elinteger/chipRAG.git"
[tool.setuptools]
license-files = ["LICENSE"]
[tool.setuptools.packages.find]
include = ["chiprag"]