DeepDanbooru / requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
absl-py==2.1.0
# via
# keras
# tensorboard
# tensorflow
aiofiles==23.2.1
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.8.0
# via
# gradio
# httpx
# starlette
astunparse==1.6.3
# via tensorflow
certifi==2025.1.31
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.1
# via requests
click==8.1.8
# via
# deepdanbooru
# typer
# uvicorn
deepdanbooru @ git+https://github.com/KichangKim/DeepDanbooru@55e8ed7e5e6f24641d9d646a2f34035813b536d4
# via deepdanbooru-app (pyproject.toml)
exceptiongroup==1.2.2
# via anyio
fastapi==0.115.11
# via gradio
ffmpy==0.5.0
# via gradio
filelock==3.17.0
# via huggingface-hub
flatbuffers==25.2.10
# via tensorflow
fsspec==2025.2.0
# via
# gradio-client
# huggingface-hub
gast==0.6.0
# via tensorflow
google-pasta==0.2.0
# via tensorflow
gradio==5.20.0
# via deepdanbooru-app (pyproject.toml)
gradio-client==1.7.2
# via gradio
groovy==0.1.2
# via gradio
grpcio==1.70.0
# via
# tensorboard
# tensorflow
h11==0.14.0
# via
# httpcore
# uvicorn
h5py==3.13.0
# via
# keras
# tensorflow
hf-transfer==0.1.9
# via deepdanbooru-app (pyproject.toml)
httpcore==1.0.7
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# safehttpx
huggingface-hub==0.29.1
# via
# gradio
# gradio-client
idna==3.10
# via
# anyio
# httpx
# requests
imageio==2.37.0
# via scikit-image
jinja2==3.1.5
# via gradio
keras==3.8.0
# via tensorflow
lazy-loader==0.4
# via scikit-image
libclang==18.1.1
# via tensorflow
markdown==3.7
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
# werkzeug
mdurl==0.1.2
# via markdown-it-py
ml-dtypes==0.4.1
# via
# keras
# tensorflow
namex==0.0.8
# via keras
networkx==3.4.2
# via scikit-image
numpy==2.0.2
# via
# deepdanbooru
# gradio
# h5py
# imageio
# keras
# ml-dtypes
# pandas
# scikit-image
# scipy
# tensorboard
# tensorflow
# tifffile
opt-einsum==3.4.0
# via tensorflow
optree==0.14.1
# via keras
orjson==3.10.15
# via gradio
packaging==24.2
# via
# gradio
# gradio-client
# huggingface-hub
# keras
# lazy-loader
# scikit-image
# tensorboard
# tensorflow
pandas==2.2.3
# via gradio
pillow==10.3.0
# via
# gradio
# imageio
# scikit-image
protobuf==5.29.3
# via
# tensorboard
# tensorflow
pydantic==2.10.6
# via
# fastapi
# gradio
pydantic-core==2.27.2
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.19.1
# via rich
python-dateutil==2.9.0.post0
# via pandas
python-multipart==0.0.20
# via gradio
pytz==2025.1
# via pandas
pyyaml==6.0.2
# via
# gradio
# huggingface-hub
requests==2.32.3
# via
# deepdanbooru
# huggingface-hub
# tensorflow
rich==13.9.4
# via
# keras
# typer
ruff==0.9.9
# via gradio
safehttpx==0.1.6
# via gradio
scikit-image==0.25.2
# via deepdanbooru
scipy==1.15.2
# via scikit-image
semantic-version==2.10.0
# via gradio
setuptools==75.8.2
# via
# tensorboard
# tensorflow
shellingham==1.5.4
# via typer
six==1.17.0
# via
# astunparse
# deepdanbooru
# google-pasta
# python-dateutil
# tensorboard
# tensorflow
sniffio==1.3.1
# via anyio
starlette==0.46.0
# via
# fastapi
# gradio
tensorboard==2.18.0
# via tensorflow
tensorboard-data-server==0.7.2
# via tensorboard
tensorflow==2.18.0
# via deepdanbooru-app (pyproject.toml)
tensorflow-io-gcs-filesystem==0.37.1
# via tensorflow
termcolor==2.5.0
# via tensorflow
tifffile==2025.2.18
# via scikit-image
tomlkit==0.13.2
# via gradio
tqdm==4.67.1
# via huggingface-hub
typer==0.15.2
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# optree
# pydantic
# pydantic-core
# rich
# tensorflow
# typer
# uvicorn
tzdata==2025.1
# via pandas
urllib3==2.3.0
# via requests
uvicorn==0.34.0
# via gradio
websockets==15.0
# via gradio-client
werkzeug==3.1.3
# via tensorboard
wheel==0.45.1
# via astunparse
wrapt==1.17.2
# via tensorflow