requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
#    pip-compile --output-file=requirements.txt requirements.in
#
altair==4.2.0
    # via -r requirements.in
anyio==3.6.1
    # via
    #   httpcore
    #   starlette
asyncio==3.4.3
    # via -r requirements.in
attrs==21.4.0
    # via
    #   jsonschema
    #   pytest
backcall==0.2.0
    # via ipython
    # via -r requirements.in
boto3==1.26.65
    # via -r requirements.in
botocore==1.29.87
    # via
    #   boto3
    #   s3transfer
certifi==2022.6.15
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==2.1.0
    # via requests
decorator==5.1.1
    # via ipython
entrypoints==0.4
    # via altair
filelock==3.7.1
    # via
    #   huggingface-hub
    #   transformers
gradio_pdf==0.0.3
    # via -r requirements.in
h11==0.12.0
    # via httpcore
httpcore==0.15.0
    # via httpx
httpx==0.23.0
    # via
    #   -r requirements.in
    #   respx
huggingface-hub==0.19.3
    # via
    #   -r requirements.in
    #   transformers
idna==3.3
    # via
    #   anyio
    #   requests
    #   rfc3986
imageio==2.19.5
    # via scikit-image
iniconfig==1.1.1
    # via pytest
ipython==7.34.0
    # via -r requirements.in
jedi==0.18.1
    # via ipython
jinja2==3.1.2
    # via altair
jmespath==1.0.1
    # via
    #   boto3
    #   botocore
joblib==1.1.0
    # via scikit-learn
jsonschema==4.7.2
    # via altair
markupsafe==2.1.1
    # via jinja2
matplotlib-inline==0.1.3
    # via ipython
networkx==2.6.3
    # via scikit-image
numpy==1.24.4
    # via
    #   altair
    #   imageio
    #   pandas
    #   pywavelets
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   tifffile
    #   transformers
packaging==22.0
    # via
    #   huggingface-hub
    #   pytest
    #   scikit-image
    #   transformers
pandas==1.5.3
    # via
    #   altair
    #   vega-datasets
parso==0.8.3
    # via jedi
pexpect==4.8.0
    # via ipython
pickleshare==0.7.5
    # via ipython
pillow==9.2.0
    # via
    #   imageio
    #   scikit-image
pluggy==1.0.0
    # via pytest
prompt-toolkit==3.0.30
    # via ipython
ptyprocess==0.7.0
    # via pexpect
polars==0.20.5
    # via -r requirements.in
py==1.11.0
    # via pytest
pydantic[email]
    # via requirements.in
pyparsing==3.0.9
    # via packaging
pyrsistent==0.18.1
    # via jsonschema
pytest==7.1.2
    # via
    #   -r requirements.in
    #   pytest-asyncio
    #   pytest-cov
pytest-virtualenv==1.7.0
pytest-asyncio==0.19.0
    # via -r requirements.in
pytest-cov==3.0.0
    # via -r requirements.in
python-dateutil==2.8.2
    # via
    #   botocore
    #   pandas
pyright==1.1.327
pytz==2022.1
    # via pandas
pywavelets==1.3.0
    # via scikit-image
pyyaml==6.0
    # via
    #   huggingface-hub
    #   transformers
regex==2022.7.9
    # via transformers
requests==2.28.1
    # via
    #   huggingface-hub
    #   transformers
respx==0.19.2
    # via -r requirements.in
ruff==0.2.2
    # via -r requirements.in
rfc3986[idna2008]==1.5.0
    # via httpx
s3transfer==0.6.0
    # via boto3
scikit-image==0.19.3
    # via -r requirements.in
scipy==1.10.0
    # via
    #   scikit-image
    #   scikit-learn
six==1.16.0
    # via python-dateutil
sniffio==1.2.0
    # via
    #   anyio
    #   httpcore
    #   httpx
starlette==0.27.0
    # via fastapi
threadpoolctl==3.1.0
    # via scikit-learn
tifffile==2021.11.2
    # via scikit-image
tokenizers==0.15.1
    # via transformers
tomli==2.0.1
    # via
    #   pytest
toolz==0.12.0
    # via altair
torch==2.1.2
    # via -r requirements.in
tqdm==4.64.0
    # via
    #   -r requirements.in
    #   huggingface-hub
    #   transformers
traitlets==5.3.0
    # via
    #   ipython
    #   matplotlib-inline
transformers==4.37.2
    # via -r requirements.in
urllib3==1.26.10
    # via
    #   botocore
    #   requests
vega-datasets==0.9.0
    # via -r requirements.in
wcwidth==0.2.5
    # via prompt-toolkit