DeepDanbooru / requirements.txt
hysts's picture
hysts HF Staff
Upgrade to gradio 6.13.0
a4cf1ac
# This file was autogenerated by uv via the following command:
# uv export --no-hashes --no-dev --no-emit-package typer-slim --no-emit-package spaces -o requirements.txt
absl-py==2.4.0
# via
# keras
# tensorflow
annotated-doc==0.0.4
# via
# fastapi
# typer
annotated-types==0.7.0
# via pydantic
anyio==4.13.0
# via
# gradio
# httpx
# mcp
# sse-starlette
# starlette
astunparse==1.6.3
# via tensorflow
attrs==26.1.0
# via
# jsonschema
# referencing
audioop-lts==0.2.2 ; python_full_version >= '3.13'
# via gradio
authlib==1.7.0
# via gradio
brotli==1.2.0
# via gradio
certifi==2026.4.22
# via
# httpcore
# httpx
# requests
cffi==2.0.0 ; platform_python_implementation != 'PyPy'
# via cryptography
charset-normalizer==3.4.7
# via requests
click==8.3.3
# via
# deepdanbooru
# typer
# uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
# via
# click
# tqdm
cryptography==47.0.0
# via
# authlib
# joserfc
# pyjwt
deepdanbooru @ git+https://github.com/KichangKim/DeepDanbooru@55e8ed7e5e6f24641d9d646a2f34035813b536d4
# via deepdanbooru-app
exceptiongroup==1.3.1 ; python_full_version < '3.11'
# via anyio
fastapi==0.136.1
# via gradio
filelock==3.29.0
# via huggingface-hub
flatbuffers==25.12.19
# via tensorflow
fsspec==2026.2.0
# via
# gradio-client
# huggingface-hub
gast==0.7.0
# via tensorflow
google-pasta==0.2.0
# via tensorflow
gradio==6.13.0
# via deepdanbooru-app
gradio-client==2.5.0
# via
# gradio
# hf-gradio
groovy==0.1.2
# via gradio
grpcio==1.80.0
# via tensorflow
h11==0.16.0
# via
# httpcore
# uvicorn
h5py==3.14.0
# via
# keras
# tensorflow
hf-gradio==0.4.1
# via gradio
hf-xet==1.4.3
# via
# deepdanbooru-app
# huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# huggingface-hub
# mcp
# safehttpx
httpx-sse==0.4.3
# via mcp
huggingface-hub==1.11.0
# via
# gradio
# gradio-client
idna==3.13
# via
# anyio
# httpx
# requests
imageio==2.37.3
# via scikit-image
itsdangerous==2.2.0
# via gradio
jinja2==3.1.6
# via gradio
joserfc==1.6.4
# via authlib
jsonschema==4.26.0
# via mcp
jsonschema-specifications==2025.9.1
# via jsonschema
keras==3.12.1 ; python_full_version < '3.11'
# via tensorflow
keras==3.14.0 ; python_full_version >= '3.11'
# via tensorflow
lazy-loader==0.5
# via scikit-image
libclang==18.1.1
# via tensorflow
markdown-it-py==4.0.0
# via rich
markupsafe==3.0.3
# via
# gradio
# jinja2
mcp==1.27.0
# via gradio
mdurl==0.1.2
# via markdown-it-py
ml-dtypes==0.5.4
# via
# keras
# tensorflow
namex==0.1.0
# via keras
networkx==3.4.2 ; python_full_version < '3.11'
# via scikit-image
networkx==3.6.1 ; python_full_version >= '3.11'
# via scikit-image
numpy==2.2.6 ; python_full_version < '3.11'
# via
# deepdanbooru
# gradio
# h5py
# imageio
# keras
# ml-dtypes
# pandas
# scikit-image
# scipy
# tensorflow
# tifffile
numpy==2.4.4 ; python_full_version >= '3.11'
# via
# deepdanbooru
# gradio
# h5py
# imageio
# keras
# ml-dtypes
# pandas
# scikit-image
# scipy
# tensorflow
# tifffile
opt-einsum==3.4.0
# via tensorflow
optree==0.19.0
# via keras
orjson==3.11.8
# via gradio
packaging==26.1
# via
# gradio
# gradio-client
# huggingface-hub
# keras
# lazy-loader
# scikit-image
# tensorflow
# wheel
pandas==2.3.3 ; python_full_version < '3.11'
# via gradio
pandas==3.0.2 ; python_full_version >= '3.11'
# via gradio
pillow==12.2.0
# via
# gradio
# imageio
# scikit-image
protobuf==7.34.1
# via tensorflow
pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy'
# via cffi
pydantic==2.12.5
# via
# fastapi
# gradio
# mcp
# pydantic-settings
pydantic-core==2.41.5
# via pydantic
pydantic-settings==2.14.0
# via mcp
pydub==0.25.1
# via gradio
pygments==2.20.0
# via rich
pyjwt==2.12.1
# via mcp
python-dateutil==2.9.0.post0
# via pandas
python-dotenv==1.2.2
# via pydantic-settings
python-multipart==0.0.26
# via
# gradio
# mcp
pytz==2026.1.post1
# via
# gradio
# pandas
pywin32==311 ; sys_platform == 'win32'
# via mcp
pyyaml==6.0.3
# via
# gradio
# huggingface-hub
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
requests==2.33.1
# via
# deepdanbooru
# tensorflow
rich==15.0.0
# via
# keras
# typer
rpds-py==0.30.0
# via
# jsonschema
# referencing
safehttpx==0.1.7
# via gradio
scikit-image==0.25.2 ; python_full_version < '3.11'
# via deepdanbooru
scikit-image==0.26.0 ; python_full_version >= '3.11'
# via deepdanbooru
scipy==1.15.3 ; python_full_version < '3.11'
# via scikit-image
scipy==1.17.1 ; python_full_version >= '3.11'
# via scikit-image
semantic-version==2.10.0
# via gradio
setuptools==82.0.1
# via tensorflow
shellingham==1.5.4
# via typer
six==1.17.0
# via
# astunparse
# deepdanbooru
# google-pasta
# python-dateutil
# tensorflow
sse-starlette==3.4.1
# via mcp
starlette==1.0.0
# via
# fastapi
# gradio
# mcp
# sse-starlette
tensorflow==2.21.0
# via deepdanbooru-app
termcolor==3.3.0
# via tensorflow
tifffile==2025.5.10 ; python_full_version < '3.11'
# via scikit-image
tifffile==2026.3.3 ; python_full_version == '3.11.*'
# via scikit-image
tifffile==2026.4.11 ; python_full_version >= '3.12'
# via scikit-image
tomlkit==0.14.0
# via gradio
tqdm==4.67.3
# via huggingface-hub
typer==0.24.2
# via
# gradio
# hf-gradio
# huggingface-hub
typing-extensions==4.15.0
# via
# anyio
# cryptography
# exceptiongroup
# fastapi
# gradio
# gradio-client
# grpcio
# huggingface-hub
# mcp
# optree
# pydantic
# pydantic-core
# pyjwt
# referencing
# starlette
# tensorflow
# typing-inspection
# uvicorn
typing-inspection==0.4.2
# via
# fastapi
# mcp
# pydantic
# pydantic-settings
tzdata==2026.1 ; python_full_version < '3.11' or sys_platform == 'emscripten' or sys_platform == 'win32'
# via pandas
urllib3==2.6.3
# via requests
uvicorn==0.46.0
# via
# gradio
# mcp
wheel==0.47.0
# via astunparse
wrapt==2.1.2
# via tensorflow