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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.4.6
# via aiohttp
aiohttp==3.11.13
# via
# datasets
# fsspec
aiosignal==1.3.2
# via aiohttp
altair==5.5.0
# via saev
annotated-types==0.7.0
# via pydantic
anyio==4.8.0
# via
# gradio
# httpx
# pycrdt
# starlette
attrs==25.1.0
# via
# aiohttp
# jsonschema
# referencing
beartype==0.20.0
# via
# saev-image-classification (pyproject.toml)
# saev
certifi==2025.1.31
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.1
# via requests
click==8.1.8
# via
# marimo
# typer
# uvicorn
cloudpickle==3.1.1
# via submitit
contourpy==1.3.1
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==3.3.2
# via saev
dill==0.3.8
# via
# datasets
# multiprocess
docstring-parser==0.16
# via tyro
docutils==0.21.2
# via marimo
einops==0.8.1
# via
# saev-image-classification (pyproject.toml)
# saev
fastapi==0.115.8
# via gradio
ffmpy==0.5.0
# via gradio
filelock==3.17.0
# via
# datasets
# huggingface-hub
# torch
fonttools==4.56.0
# via matplotlib
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.12.0
# via
# datasets
# gradio-client
# huggingface-hub
# torch
ftfy==6.3.1
# via open-clip-torch
gradio==5.18.0
# via saev-image-classification (pyproject.toml)
gradio-client==1.7.2
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
httpcore==1.0.7
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# safehttpx
huggingface-hub==0.29.1
# via
# datasets
# gradio
# gradio-client
# open-clip-torch
# timm
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
itsdangerous==2.2.0
# via marimo
jaxtyping==0.2.38
# via
# saev-image-classification (pyproject.toml)
# saev
jedi==0.19.2
# via marimo
jinja2==3.1.5
# via
# altair
# gradio
# torch
jsonschema==4.23.0
# via altair
jsonschema-specifications==2024.10.1
# via jsonschema
kiwisolver==1.4.8
# via matplotlib
marimo==0.11.9
# via saev
markdown==3.7
# via
# marimo
# pymdown-extensions
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.10.0
# via saev
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
narwhals==1.28.0
# via
# altair
# marimo
networkx==3.4.2
# via torch
numpy==2.2.3
# via
# saev-image-classification (pyproject.toml)
# contourpy
# datasets
# gradio
# matplotlib
# pandas
# torchvision
nvidia-cublas-cu12==12.4.5.8
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.6.2
# via torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.4.127
# via torch
open-clip-torch==2.31.0
# via
# saev-image-classification (pyproject.toml)
# saev
orjson==3.10.15
# via gradio
packaging==24.2
# via
# altair
# datasets
# gradio
# gradio-client
# huggingface-hub
# marimo
# matplotlib
pandas==2.2.3
# via
# datasets
# gradio
parso==0.8.4
# via jedi
pillow==11.1.0
# via
# gradio
# matplotlib
# saev
# torchvision
polars==1.23.0
# via saev
propcache==0.3.0
# via
# aiohttp
# yarl
psutil==7.0.0
# via marimo
pyarrow==19.0.1
# via datasets
pycrdt==0.11.1
# via marimo
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
# marimo
# rich
pymdown-extensions==10.14.3
# via marimo
pyparsing==3.2.1
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-multipart==0.0.20
# via gradio
pytz==2025.1
# via pandas
pyyaml==6.0.2
# via
# datasets
# gradio
# huggingface-hub
# marimo
# pymdown-extensions
# timm
referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
regex==2024.11.6
# via open-clip-torch
requests==2.32.3
# via
# datasets
# huggingface-hub
rich==13.9.4
# via
# typer
# tyro
rpds-py==0.23.1
# via
# jsonschema
# referencing
ruff==0.9.7
# via
# gradio
# marimo
saev @ git+https://github.com/samuelstevens/saev@d03db3bf6a2e104ef4758c439194e500016e0366
# via saev-image-classification (pyproject.toml)
safehttpx==0.1.6
# via gradio
safetensors==0.5.2
# via
# open-clip-torch
# timm
semantic-version==2.10.0
# via gradio
setuptools==75.8.1
# via torch
shellingham==1.5.4
# via typer
shtab==1.7.1
# via tyro
six==1.17.0
# via python-dateutil
sniffio==1.3.1
# via anyio
starlette==0.45.3
# via
# fastapi
# gradio
# marimo
submitit==1.5.2
# via saev
sympy==1.13.1
# via torch
timm==1.0.15
# via open-clip-torch
tomlkit==0.13.2
# via
# gradio
# marimo
torch==2.6.0
# via
# saev-image-classification (pyproject.toml)
# open-clip-torch
# saev
# timm
# torchvision
torchvision==0.21.0
# via
# saev-image-classification (pyproject.toml)
# open-clip-torch
# timm
tqdm==4.67.1
# via
# datasets
# huggingface-hub
# open-clip-torch
# saev
triton==3.2.0
# via torch
typeguard==4.4.2
# via tyro
typer==0.15.1
# via gradio
typing-extensions==4.12.2
# via
# altair
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# referencing
# submitit
# torch
# typeguard
# typer
# tyro
tyro==0.9.16
# via saev
tzdata==2025.1
# via pandas
urllib3==2.3.0
# via requests
uvicorn==0.34.0
# via
# gradio
# marimo
wadler-lindig==0.1.3
# via jaxtyping
wcwidth==0.2.13
# via ftfy
websockets==15.0
# via
# gradio-client
# marimo
xxhash==3.5.0
# via datasets
yarl==1.18.3
# via aiohttp
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