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pyproject.toml
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74 lines (72 loc) · 1.52 KB
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[project]
name = "pubtrends"
version = "1.0.0"
description = "Python components for Pubtrends"
requires-python = "==3.12.*"
dependencies = [
"pip",
"bokeh==3.8.2",
"cachetools",
"celery",
"fastparquet",
"flask==3.1.3",
"flask-admin",
"flask-caching",
"flask-security",
"flask-sqlalchemy",
"jinja2",
"ipywidgets",
"holoviews",
"huggingface-hub>=0.26.0",
"transformers>=4.46.0",
"sentence-transformers",
"gensim",
"matplotlib",
"more-itertools",
"networkx",
"nltk",
"pandas",
"parameterized",
"passlib[bcrypt]",
"psutil",
"psycopg2-binary",
"pyarrow",
"pytest",
"requests==2.32.4",
"scikit-learn",
"scipy",
"seaborn",
"spacy",
"statsmodels",
"sqlalchemy",
"tqdm",
"umap-learn",
"unidecode",
"wordcloud",
"email-validator",
"gunicorn",
"redis",
"lazy",
"pytest-flake8",
"python-levenshtein",
"shapely",
"teamcity-messages",
"text2num",
"vine",
"en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl",
"biopython",
"flasgger",
]
# Are required also
# "spacy",
# "faiss-cpu",
# "transformers[torch]",
# "sentence-transformers"
[tool.uv.sources]
torch = { index = "pytorch-cpu" }
torchvision = { index = "pytorch-cpu" }
torchaudio = { index = "pytorch-cpu" }
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true