requirements.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in -o requirements.txt
absl-py==2.1.0
    # via
    #   -r requirements.in
    #   keras
    #   tensorboard
    #   tensorflow
aiofiles==23.2.1
    # via
    #   -r requirements.in
    #   gradio
aiohappyeyeballs==2.4.4
    # via
    #   -r requirements.in
    #   aiohttp
aiohttp==3.11.11
    # via -r requirements.in
aiosignal==1.3.2
    # via
    #   -r requirements.in
    #   aiohttp
annotated-types==0.7.0
    # via
    #   -r requirements.in
    #   pydantic
anyio==4.8.0
    # via
    #   -r requirements.in
    #   gradio
    #   httpx
    #   starlette
asttokens==3.0.0
    # via
    #   -r requirements.in
    #   stack-data
astunparse==1.6.3
    # via
    #   -r requirements.in
    #   tensorflow
attrs==24.3.0
    # via
    #   -r requirements.in
    #   aiohttp
category-encoders==2.7.0
    # via -r requirements.in
certifi==2024.12.14
    # via
    #   -r requirements.in
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.1
    # via
    #   -r requirements.in
    #   requests
click==8.1.8
    # via
    #   -r requirements.in
    #   typer
    #   uvicorn
cloudpickle==3.1.0
    # via
    #   -r requirements.in
    #   shap
comm==0.2.2
    # via
    #   -r requirements.in
    #   ipykernel
    #   ipywidgets
contextlib2==21.6.0
    # via -r requirements.in
contourpy==1.3.1
    # via
    #   -r requirements.in
    #   matplotlib
cycler==0.12.1
    # via
    #   -r requirements.in
    #   matplotlib
debugpy==1.8.11
    # via
    #   -r requirements.in
    #   ipykernel
decorator==5.1.1
    # via
    #   -r requirements.in
    #   ipython
executing==2.1.0
    # via
    #   -r requirements.in
    #   stack-data
fastapi==0.115.6
    # via
    #   -r requirements.in
    #   gradio
ffmpy==0.5.0
    # via
    #   -r requirements.in
    #   gradio
filelock==3.16.1
    # via
    #   -r requirements.in
    #   huggingface-hub
flatbuffers==24.12.23
    # via
    #   -r requirements.in
    #   tensorflow
fonttools==4.55.3
    # via
    #   -r requirements.in
    #   matplotlib
frozenlist==1.5.0
    # via
    #   -r requirements.in
    #   aiohttp
    #   aiosignal
fsspec==2024.12.0
    # via
    #   -r requirements.in
    #   gradio-client
    #   huggingface-hub
gast==0.6.0
    # via
    #   -r requirements.in
    #   tensorflow
google-pasta==0.2.0
    # via
    #   -r requirements.in
    #   tensorflow
gradio==5.12.0
    # via -r requirements.in
gradio-client==1.5.4
    # via
    #   -r requirements.in
    #   gradio
greenlet==3.1.1
    # via
    #   -r requirements.in
    #   sqlalchemy
grpcio==1.69.0
    # via
    #   -r requirements.in
    #   tensorboard
    #   tensorflow
h11==0.14.0
    # via
    #   -r requirements.in
    #   httpcore
    #   uvicorn
h5py==3.12.1
    # via
    #   -r requirements.in
    #   keras
    #   tensorflow
httpcore==1.0.7
    # via
    #   -r requirements.in
    #   httpx
httpx==0.28.1
    # via
    #   -r requirements.in
    #   gradio
    #   gradio-client
    #   safehttpx
huggingface-hub==0.27.1
    # via
    #   -r requirements.in
    #   gradio
    #   gradio-client
idna==3.10
    # via
    #   -r requirements.in
    #   anyio
    #   httpx
    #   requests
    #   yarl
ipykernel==6.29.5
    # via -r requirements.in
ipython==8.31.0
    # via
    #   -r requirements.in
    #   ipykernel
    #   ipywidgets
ipywidgets==8.1.5
    # via -r requirements.in
jedi==0.19.2
    # via
    #   -r requirements.in
    #   ipython
jinja2==3.1.5
    # via
    #   -r requirements.in
    #   gradio
joblib==1.4.2
    # via
    #   -r requirements.in
    #   scikit-learn
jupyter-client==8.6.3
    # via
    #   -r requirements.in
    #   ipykernel
jupyter-core==5.7.2
    # via
    #   -r requirements.in
    #   ipykernel
    #   jupyter-client
jupyterlab-widgets==3.0.13
    # via
    #   -r requirements.in
    #   ipywidgets
keras==3.8.0
    # via
    #   -r requirements.in
    #   tensorflow
kiwisolver==1.4.8
    # via
    #   -r requirements.in
    #   matplotlib
libclang==18.1.1
    # via
    #   -r requirements.in
    #   tensorflow
llvmlite==0.43.0
    # via
    #   -r requirements.in
    #   numba
markdown==3.7
    # via
    #   -r requirements.in
    #   tensorboard
markdown-it-py==3.0.0
    # via
    #   -r requirements.in
    #   rich
markupsafe==2.1.5
    # via
    #   -r requirements.in
    #   gradio
    #   jinja2
    #   werkzeug
matplotlib==3.10.0
    # via
    #   -r requirements.in
    #   seaborn
matplotlib-inline==0.1.7
    # via
    #   -r requirements.in
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via
    #   -r requirements.in
    #   markdown-it-py
ml-dtypes==0.4.1
    # via
    #   -r requirements.in
    #   keras
    #   tensorflow
multidict==6.1.0
    # via
    #   -r requirements.in
    #   aiohttp
    #   yarl
namex==0.0.8
    # via
    #   -r requirements.in
    #   keras
nest-asyncio==1.6.0
    # via
    #   -r requirements.in
    #   ipykernel
numba==0.60.0
    # via
    #   -r requirements.in
    #   shap
numpy==1.26.4
    # via
    #   -r requirements.in
    #   category-encoders
    #   contourpy
    #   gradio
    #   h5py
    #   keras
    #   matplotlib
    #   ml-dtypes
    #   numba
    #   pandas
    #   patsy
    #   scikit-learn
    #   scipy
    #   seaborn
    #   shap
    #   statsmodels
    #   tensorboard
    #   tensorflow
opt-einsum==3.4.0
    # via
    #   -r requirements.in
    #   tensorflow
optree==0.13.1
    # via
    #   -r requirements.in
    #   keras
orjson==3.10.14
    # via
    #   -r requirements.in
    #   gradio
packaging==24.2
    # via
    #   -r requirements.in
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   ipykernel
    #   keras
    #   matplotlib
    #   shap
    #   statsmodels
    #   tensorboard
    #   tensorflow
pandas==2.2.3
    # via
    #   -r requirements.in
    #   category-encoders
    #   gradio
    #   seaborn
    #   shap
    #   statsmodels
parso==0.8.4
    # via
    #   -r requirements.in
    #   jedi
patsy==1.0.1
    # via
    #   -r requirements.in
    #   category-encoders
    #   statsmodels
pexpect==4.9.0
    # via
    #   -r requirements.in
    #   ipython
pillow==11.1.0
    # via
    #   -r requirements.in
    #   gradio
    #   matplotlib
pip==24.0
    # via -r requirements.in
platformdirs==4.3.6
    # via
    #   -r requirements.in
    #   jupyter-core
prompt-toolkit==3.0.48
    # via
    #   -r requirements.in
    #   ipython
propcache==0.2.1
    # via
    #   -r requirements.in
    #   aiohttp
    #   yarl
protobuf==4.25.5
    # via
    #   -r requirements.in
    #   tensorboard
    #   tensorflow
psutil==6.1.1
    # via
    #   -r requirements.in
    #   ipykernel
ptyprocess==0.7.0
    # via
    #   -r requirements.in
    #   pexpect
pure-eval==0.2.3
    # via
    #   -r requirements.in
    #   stack-data
pydantic==2.10.5
    # via
    #   -r requirements.in
    #   fastapi
    #   gradio
pydantic-core==2.27.2
    # via
    #   -r requirements.in
    #   pydantic
pydub==0.25.1
    # via
    #   -r requirements.in
    #   gradio
pygments==2.19.1
    # via
    #   -r requirements.in
    #   ipython
    #   rich
pyparsing==3.2.1
    # via
    #   -r requirements.in
    #   matplotlib
python-dateutil==2.9.0.post0
    # via
    #   -r requirements.in
    #   jupyter-client
    #   matplotlib
    #   pandas
python-multipart==0.0.20
    # via
    #   -r requirements.in
    #   gradio
pytz==2024.2
    # via
    #   -r requirements.in
    #   pandas
pyyaml==6.0.2
    # via
    #   -r requirements.in
    #   gradio
    #   huggingface-hub
pyzmq==26.2.0
    # via
    #   -r requirements.in
    #   ipykernel
    #   jupyter-client
requests==2.32.3
    # via
    #   -r requirements.in
    #   huggingface-hub
    #   tensorflow
rich==13.9.4
    # via
    #   -r requirements.in
    #   keras
    #   typer
ruff==0.9.1
    # via
    #   -r requirements.in
    #   gradio
safehttpx==0.1.6
    # via
    #   -r requirements.in
    #   gradio
scikit-learn==1.5.2
    # via
    #   -r requirements.in
    #   category-encoders
    #   shap
scipy==1.15.1
    # via
    #   -r requirements.in
    #   category-encoders
    #   scikit-learn
    #   shap
    #   statsmodels
seaborn==0.13.2
    # via -r requirements.in
semantic-version==2.10.0
    # via
    #   -r requirements.in
    #   gradio
setuptools==75.8.0
    # via
    #   -r requirements.in
    #   tensorboard
    #   tensorflow
shap==0.46.0
    # via -r requirements.in
shellingham==1.5.4
    # via
    #   -r requirements.in
    #   typer
six==1.17.0
    # via
    #   -r requirements.in
    #   astunparse
    #   google-pasta
    #   python-dateutil
    #   tensorboard
    #   tensorflow
slicer==0.0.8
    # via
    #   -r requirements.in
    #   shap
sniffio==1.3.1
    # via
    #   -r requirements.in
    #   anyio
sqlalchemy==2.0.37
    # via -r requirements.in
stack-data==0.6.3
    # via
    #   -r requirements.in
    #   ipython
starlette==0.41.3
    # via
    #   -r requirements.in
    #   fastapi
    #   gradio
statsmodels==0.14.4
    # via
    #   -r requirements.in
    #   category-encoders
tensorboard==2.17.1
    # via
    #   -r requirements.in
    #   tensorflow
tensorboard-data-server==0.7.2
    # via
    #   -r requirements.in
    #   tensorboard
tensorflow==2.17.0
    # via -r requirements.in
termcolor==2.5.0
    # via
    #   -r requirements.in
    #   tensorflow
threadpoolctl==3.5.0
    # via
    #   -r requirements.in
    #   scikit-learn
tomlkit==0.13.2
    # via
    #   -r requirements.in
    #   gradio
tornado==6.4.2
    # via
    #   -r requirements.in
    #   ipykernel
    #   jupyter-client
tqdm==4.67.1
    # via
    #   -r requirements.in
    #   huggingface-hub
    #   shap
traitlets==5.14.3
    # via
    #   -r requirements.in
    #   comm
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
typer==0.15.1
    # via
    #   -r requirements.in
    #   gradio
typing-extensions==4.12.2
    # via
    #   -r requirements.in
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   optree
    #   pydantic
    #   pydantic-core
    #   sqlalchemy
    #   tensorflow
    #   typer
tzdata==2024.2
    # via
    #   -r requirements.in
    #   pandas
urllib3==2.3.0
    # via
    #   -r requirements.in
    #   requests
uv==0.5.20
    # via -r requirements.in
uvicorn==0.34.0
    # via
    #   -r requirements.in
    #   gradio
wcwidth==0.2.13
    # via
    #   -r requirements.in
    #   prompt-toolkit
websockets==14.1
    # via
    #   -r requirements.in
    #   gradio-client
werkzeug==3.1.3
    # via
    #   -r requirements.in
    #   tensorboard
wheel==0.45.1
    # via
    #   -r requirements.in
    #   astunparse
widgetsnbextension==4.0.13
    # via
    #   -r requirements.in
    #   ipywidgets
wrapt==1.17.1
    # via
    #   -r requirements.in
    #   tensorflow
yarl==1.18.3
    # via
    #   -r requirements.in
    #   aiohttp