flowerfy / requirements.txt
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Apply code formatting and fix compatibility issues
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# This file was autogenerated by uv via the following command:
# uv export --format requirements-txt --no-hashes
accelerate==1.10.1
# via
# flowerfy
# transformers
aiofiles==23.2.1
# via gradio
altair==5.5.0
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.10.0
# via
# httpx
# starlette
attrs==25.3.0
# via
# jsonschema
# referencing
certifi==2025.8.3
# via
# httpcore
# httpx
# requests
cfgv==3.4.0
# via pre-commit
charset-normalizer==3.4.3
# via requests
click==8.1.8 ; python_full_version < '3.10' and sys_platform != 'emscripten'
# via
# typer
# uvicorn
click==8.2.1 ; python_full_version >= '3.10' and sys_platform != 'emscripten'
# via
# typer
# uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
# via
# click
# tqdm
contourpy==1.3.0 ; python_full_version < '3.10'
# via matplotlib
contourpy==1.3.2 ; python_full_version == '3.10.*'
# via matplotlib
contourpy==1.3.3 ; python_full_version >= '3.11'
# via matplotlib
cycler==0.12.1
# via matplotlib
diffusers==0.35.1
# via flowerfy
distlib==0.4.0
# via virtualenv
exceptiongroup==1.3.0 ; python_full_version < '3.11'
# via anyio
fastapi==0.112.4
# via gradio
ffmpy==0.6.1
# via gradio
filelock==3.19.1
# via
# diffusers
# huggingface-hub
# torch
# transformers
# virtualenv
fonttools==4.59.2
# via matplotlib
fsspec==2025.7.0
# via
# gradio-client
# huggingface-hub
# torch
gradio==4.29.0
# via flowerfy
gradio-client==0.16.1
# via gradio
h11==0.16.0
# via
# httpcore
# uvicorn
hf-xet==1.1.8 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
huggingface-hub==0.34.4
# via
# accelerate
# diffusers
# gradio
# gradio-client
# tokenizers
# transformers
identify==2.6.13
# via pre-commit
idna==3.10
# via
# anyio
# httpx
# requests
importlib-metadata==8.7.0
# via
# diffusers
# triton
importlib-resources==6.5.2
# via
# gradio
# matplotlib
jinja2==3.1.6
# via
# altair
# gradio
# torch
joblib==1.5.1
# via scikit-learn
jsonschema==4.25.1
# via altair
jsonschema-specifications==2025.4.1
# via jsonschema
kiwisolver==1.4.7 ; python_full_version < '3.10'
# via matplotlib
kiwisolver==1.4.9 ; python_full_version >= '3.10'
# via matplotlib
markdown-it-py==3.0.0 ; python_full_version < '3.10' and sys_platform != 'emscripten'
# via rich
markdown-it-py==4.0.0 ; python_full_version >= '3.10' and sys_platform != 'emscripten'
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.9.4 ; python_full_version < '3.10'
# via gradio
matplotlib==3.10.6 ; python_full_version >= '3.10'
# via gradio
mdurl==0.1.2 ; sys_platform != 'emscripten'
# via markdown-it-py
mpmath==1.3.0
# via sympy
mypy==1.17.1
mypy-extensions==1.1.0
# via mypy
narwhals==2.3.0
# via altair
networkx==3.2.1 ; python_full_version < '3.10'
# via torch
networkx==3.4.2 ; python_full_version == '3.10.*'
# via torch
networkx==3.5 ; python_full_version >= '3.11'
# via torch
nodeenv==1.9.1
# via pre-commit
numpy==1.26.4
# via
# accelerate
# contourpy
# diffusers
# gradio
# matplotlib
# pandas
# scikit-learn
# scipy
# torchvision
# transformers
nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
orjson==3.11.3
# via gradio
packaging==25.0
# via
# accelerate
# altair
# gradio
# gradio-client
# huggingface-hub
# matplotlib
# transformers
pandas==2.3.2
# via gradio
pathspec==0.12.1
# via mypy
pillow==10.4.0
# via
# diffusers
# flowerfy
# gradio
# matplotlib
# torchvision
platformdirs==4.4.0
# via virtualenv
pre-commit==4.3.0
psutil==7.0.0
# via accelerate
pydantic==2.10.6
# via
# fastapi
# gradio
pydantic-core==2.27.2
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.19.2 ; sys_platform != 'emscripten'
# via rich
pyparsing==3.2.3
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-dotenv==1.1.1
# via flowerfy
python-multipart==0.0.20
# via gradio
pytz==2025.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# gradio
# huggingface-hub
# pre-commit
# transformers
referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
regex==2025.7.34
# via
# diffusers
# transformers
requests==2.32.5
# via
# diffusers
# huggingface-hub
# transformers
rich==14.1.0 ; sys_platform != 'emscripten'
# via typer
rpds-py==0.27.1
# via
# jsonschema
# referencing
ruff==0.12.10
# via gradio
safetensors==0.6.2
# via
# accelerate
# diffusers
# transformers
scikit-learn==1.5.2
# via flowerfy
scipy==1.13.1 ; python_full_version < '3.10'
# via scikit-learn
scipy==1.15.3 ; python_full_version == '3.10.*'
# via scikit-learn
scipy==1.16.1 ; python_full_version >= '3.11'
# via scikit-learn
semantic-version==2.10.0
# via gradio
setuptools==80.9.0 ; (python_full_version >= '3.12' and platform_machine != 'x86_64') or (python_full_version >= '3.12' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')
# via
# torch
# triton
shellingham==1.5.4 ; sys_platform != 'emscripten'
# via typer
six==1.17.0
# via python-dateutil
sniffio==1.3.1
# via anyio
starlette==0.38.6
# via fastapi
sympy==1.14.0
# via torch
threadpoolctl==3.6.0
# via scikit-learn
tokenizers==0.21.4
# via transformers
tomli==2.2.1 ; python_full_version < '3.11'
# via mypy
tomlkit==0.12.0
# via gradio
torch==2.8.0
# via
# accelerate
# flowerfy
# torchvision
# transformers
torchvision==0.23.0
# via flowerfy
tqdm==4.67.1
# via
# huggingface-hub
# transformers
transformers==4.55.4
# via flowerfy
triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
typer==0.16.1 ; sys_platform != 'emscripten'
# via gradio
typing-extensions==4.15.0
# via
# altair
# anyio
# exceptiongroup
# fastapi
# gradio
# gradio-client
# huggingface-hub
# mypy
# pydantic
# pydantic-core
# referencing
# starlette
# torch
# typer
# typing-inspection
# uvicorn
# virtualenv
typing-inspection==0.4.1
# via pydantic
tzdata==2025.2
# via pandas
urllib3==2.5.0
# via
# gradio
# requests
uvicorn==0.35.0 ; sys_platform != 'emscripten'
# via gradio
virtualenv==20.34.0
# via pre-commit
websockets==11.0.3
# via gradio-client
zipp==3.23.0
# via
# importlib-metadata
# importlib-resources