requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    pip-compile --output-file=requirements.txt
#
accelerate==0.34.2
    # via sentence-transformers
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
attrs==24.2.0
    # via aiohttp
blis==0.7.11
    # via thinc
catalogue==2.0.10
    # via
    #   spacy
    #   srsly
    #   thinc
certifi==2024.7.4
    # via requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   nltk
    #   typer
cloudpathlib==0.18.1
    # via weasel
colorama==0.4.6
    # via
    #   click
    #   tqdm
    #   wasabi
confection==0.1.5
    # via
    #   thinc
    #   weasel
contourpy==1.2.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
cymem==2.0.8
    # via
    #   preshed
    #   spacy
    #   thinc
datasets==3.0.0
    # via sentence-transformers
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
dnspython==2.6.1
    # via pymongo
emoji==2.12.1
    # via stanza
faiss-cpu==1.8.0.post1
    # via wannadb (pyproject.toml)
filelock==3.15.4
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.53.1
    # via matplotlib
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
fsspec[http]==2024.6.1
    # via
    #   datasets
    #   huggingface-hub
    #   torch
huggingface-hub==0.24.5
    # via
    #   accelerate
    #   datasets
    #   sentence-transformers
    #   tokenizers
    #   transformers
idna==3.7
    # via
    #   requests
    #   yarl
jinja2==3.1.4
    # via
    #   spacy
    #   torch
joblib==1.4.2
    # via
    #   nltk
    #   scikit-learn
kiwisolver==1.4.5
    # via matplotlib
langcodes==3.4.0
    # via spacy
language-data==1.2.0
    # via langcodes
marisa-trie==1.2.0
    # via language-data
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via jinja2
matplotlib==3.9.2
    # via
    #   seaborn
    #   wannadb (pyproject.toml)
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
murmurhash==1.0.10
    # via
    #   preshed
    #   spacy
    #   thinc
networkx==3.3
    # via
    #   stanza
    #   torch
nltk==3.8.1
    # via wannadb (pyproject.toml)
numpy==1.26.4
    # via
    #   accelerate
    #   blis
    #   contourpy
    #   datasets
    #   faiss-cpu (requires numpy<2.0,>=1.0)
    #   matplotlib
    #   pandas
    #   pyarrow
    #   scikit-learn
    #   scipy
    #   seaborn
    #   sentence-transformers
    #   spacy
    #   stanza
    #   thinc (requires numpy<2.0,>=1.19.0)
    #   transformers
    #   wannadb (pyproject.toml)
packaging==24.1
    # via
    #   accelerate
    #   datasets
    #   faiss-cpu
    #   huggingface-hub
    #   matplotlib
    #   spacy
    #   thinc
    #   transformers
    #   weasel
pandas==2.2.2
    # via
    #   datasets
    #   seaborn
    #   wannadb (pyproject.toml)
pillow==10.4.0
    # via
    #   matplotlib
    #   sentence-transformers
preshed==3.0.9
    # via
    #   spacy
    #   thinc
protobuf==5.27.3
    # via stanza
psutil==6.0.0
    # via accelerate
pyarrow==17.0.0
    # via datasets
pydantic==2.8.2
    # via
    #   confection
    #   spacy
    #   thinc
    #   weasel
pydantic-core==2.20.1
    # via pydantic
pygments==2.18.0
    # via rich
pymongo==4.8.0
    # via wannadb (pyproject.toml)
pyparsing==3.1.2
    # via matplotlib
pyqt6==6.7.1
    # via wannadb (pyproject.toml)
pyqt6-qt6==6.7.2
    # via pyqt6
pyqt6-sip==13.8.0
    # via pyqt6
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   transformers
regex==2024.7.24
    # via
    #   nltk
    #   transformers
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
    #   spacy
    #   stanza
    #   transformers
    #   weasel
rich==13.7.1
    # via typer
safetensors==0.4.3
    # via
    #   accelerate
    #   transformers
scikit-learn==1.5.1
    # via
    #   sentence-transformers
    #   wannadb (pyproject.toml)
scipy==1.14.0
    # via
    #   scikit-learn
    #   sentence-transformers
    #   wannadb (pyproject.toml)
seaborn==0.13.2
    # via wannadb (pyproject.toml)
sentence-transformers[train]==3.0.1
    # via wannadb (pyproject.toml)
shellingham==1.5.4
    # via typer
six==1.16.0
    # via python-dateutil
smart-open==6.4.0
    # via weasel
spacy==3.7.5
    # via wannadb (pyproject.toml)
spacy-legacy==3.0.12
    # via spacy
spacy-loggers==1.0.5
    # via spacy
sqlparse==0.5.1
    # via wannadb (pyproject.toml)
srsly==2.4.8
    # via
    #   confection
    #   spacy
    #   thinc
    #   weasel
stanza==1.8.2
    # via wannadb (pyproject.toml)
sympy==1.13.1
    # via torch
thinc==8.2.5
    # via spacy
threadpoolctl==3.5.0
    # via scikit-learn
tokenizers==0.19.1
    # via transformers
toml==0.10.2
    # via stanza
torch==2.4.1
    # via
    #   accelerate
    #   sentence-transformers
    #   stanza
    #   wannadb (pyproject.toml)
tqdm==4.66.4
    # via
    #   datasets
    #   huggingface-hub
    #   nltk
    #   sentence-transformers
    #   spacy
    #   stanza
    #   transformers
transformers==4.43.3
    # via
    #   sentence-transformers
    #   wannadb (pyproject.toml)
typer==0.12.3
    # via
    #   spacy
    #   weasel
typing-extensions==4.12.2
    # via
    #   emoji
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   torch
    #   typer
tzdata==2024.1
    # via pandas
urllib3==2.2.2
    # via requests
wasabi==1.1.3
    # via
    #   spacy
    #   thinc
    #   weasel
weasel==0.4.1
    # via spacy
xxhash==3.5.0
    # via datasets
yarl==1.12.1
    # via aiohttp

# The following packages are considered to be unsafe in a requirements file:
# setuptools