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requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile - -o requirements.txt
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.3.2
# via aiohttp
aiohttp==3.10.0
# via fsspec
aiosignal==1.3.1
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.4.0
# via
# gradio
# httpx
# starlette
# watchfiles
asttokens==2.4.1
# via stack-data
async-timeout==4.0.3
# via aiohttp
attrs==23.2.0
# via aiohttp
blis==0.7.11
# via thinc
bokeh==3.5.1
catalogue==2.0.10
# via
# spacy
# srsly
# thinc
certifi==2024.7.4
# via
# httpcore
# httpx
# requests
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via
# dask
# distributed
# typer
# uvicorn
cloudpathlib==0.18.1
# via weasel
cloudpickle==3.0.0
# via
# dask
# distributed
coloredlogs==15.0.1
# via onnxruntime
comm==0.2.2
# via ipykernel
confection==0.1.5
# via
# thinc
# weasel
contourpy==1.2.1
# via
# bokeh
# matplotlib
cycler==0.12.1
# via matplotlib
cymem==2.0.8
# via
# preshed
# spacy
# thinc
dask==2024.7.1
# via
# dask-expr
# distributed
dask-expr==1.1.9
debugpy==1.8.2
# via ipykernel
decorator==5.1.1
# via ipython
distributed==2024.7.1
dnspython==2.6.1
# via email-validator
email-validator==2.2.0
# via fastapi
exceptiongroup==1.2.2
# via
# anyio
# ipython
executing==2.0.1
# via stack-data
fastai==2.7.16
fastapi==0.111.1
# via gradio
fastapi-cli==0.0.4
# via fastapi
fastcore==1.5.55
# via
# fastai
# fastdownload
fastdownload==0.0.7
# via fastai
fastprogress==1.0.3
# via
# fastai
# fastdownload
ffmpy==0.4.0
# via gradio
filelock==3.15.4
# via
# huggingface-hub
# torch
# transformers
# triton
flatbuffers==24.3.25
# via onnxruntime
fonttools==4.53.1
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec==2024.6.1
# via
# dask
# gradio-client
# huggingface-hub
# lightning
# pytorch-lightning
# torch
gradio==4.39.0
gradio-client==1.1.1
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
httpcore==1.0.5
# via httpx
httptools==0.6.1
# via uvicorn
httpx==0.27.0
# via
# fastapi
# gradio
# gradio-client
huggingface-hub==0.24.3
# via
# gradio
# gradio-client
# timm
# tokenizers
# transformers
humanfriendly==10.0
# via coloredlogs
idna==3.7
# via
# anyio
# email-validator
# httpx
# requests
# yarl
importlib-metadata==8.2.0
# via dask
importlib-resources==6.4.0
# via gradio
ipykernel==6.29.5
ipython==8.26.0
# via ipykernel
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via
# bokeh
# distributed
# fastapi
# gradio
# spacy
# torch
joblib==1.4.2
# via scikit-learn
jupyter-client==8.6.2
# via ipykernel
jupyter-core==5.7.2
# via
# ipykernel
# jupyter-client
kiwisolver==1.4.5
# via matplotlib
langcodes==3.4.0
# via spacy
language-data==1.2.0
# via langcodes
lightning==2.3.3
lightning-utilities==0.11.6
# via
# lightning
# pytorch-lightning
# torchmetrics
locket==1.0.0
# via
# distributed
# partd
lz4==4.3.3
marisa-trie==1.2.0
# via language-data
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.9.1
# via
# fastai
# gradio
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via distributed
multidict==6.0.5
# via
# aiohttp
# yarl
murmurhash==1.0.10
# via
# preshed
# spacy
# thinc
nest-asyncio==1.6.0
# via ipykernel
networkx==3.3
# via torch
numpy==1.26.4
# via
# blis
# bokeh
# contourpy
# gradio
# lightning
# matplotlib
# onnx
# onnxruntime
# pandas
# pyarrow
# pytorch-lightning
# scikit-learn
# scipy
# spacy
# thinc
# torchmetrics
# torchvision
# transformers
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.5.82
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
onnx==1.16.1
onnxruntime==1.18.1
orjson==3.10.6
# via gradio
packaging==24.1
# via
# bokeh
# dask
# distributed
# fastai
# fastcore
# gradio
# gradio-client
# huggingface-hub
# ipykernel
# lightning
# lightning-utilities
# matplotlib
# onnxruntime
# pytorch-lightning
# spacy
# thinc
# torchmetrics
# transformers
# weasel
pandas==2.2.2
# via
# bokeh
# dask-expr
# fastai
# gradio
parso==0.8.4
# via jedi
partd==1.4.2
# via dask
pexpect==4.9.0
# via ipython
pillow==10.4.0
# via
# bokeh
# fastai
# gradio
# matplotlib
# torchvision
pip==24.2
# via fastai
platformdirs==4.2.2
# via jupyter-core
preshed==3.0.9
# via
# spacy
# thinc
prompt-toolkit==3.0.47
# via ipython
protobuf==5.27.2
# via
# onnx
# onnxruntime
psutil==6.0.0
# via
# distributed
# ipykernel
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pyarrow==17.0.0
# via dask-expr
pyarrow-hotfix==0.6
pydantic==2.8.2
# via
# confection
# fastapi
# gradio
# spacy
# thinc
# weasel
pydantic-core==2.20.1
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via
# ipython
# rich
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via
# jupyter-client
# matplotlib
# pandas
python-dotenv==1.0.1
# via uvicorn
python-multipart==0.0.9
# via
# fastapi
# gradio
pytorch-lightning==2.3.3
# via lightning
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via
# bokeh
# dask
# distributed
# fastai
# gradio
# huggingface-hub
# lightning
# pytorch-lightning
# timm
# transformers
# uvicorn
pyzmq==26.0.3
# via
# ipykernel
# jupyter-client
regex==2024.7.24
# via transformers
requests==2.32.3
# via
# fastai
# huggingface-hub
# spacy
# transformers
# weasel
rich==13.7.1
# via typer
ruff==0.5.5
# via gradio
safetensors==0.4.3
# via
# timm
# transformers
scikit-learn==1.5.1
# via fastai
scipy==1.14.0
# via
# fastai
# scikit-learn
semantic-version==2.10.0
# via gradio
setuptools==72.1.0
# via
# lightning-utilities
# marisa-trie
# spacy
# thinc
shellingham==1.5.4
# via typer
six==1.16.0
# via
# asttokens
# python-dateutil
smart-open==7.0.4
# via weasel
sniffio==1.3.1
# via
# anyio
# httpx
sortedcontainers==2.4.0
# via distributed
spacy==3.7.5
# via fastai
spacy-legacy==3.0.12
# via spacy
spacy-loggers==1.0.5
# via spacy
srsly==2.4.8
# via
# confection
# spacy
# thinc
# weasel
stack-data==0.6.3
# via ipython
starlette==0.37.2
# via fastapi
sympy==1.13.1
# via
# onnxruntime
# torch
tblib==3.0.0
# via distributed
thinc==8.2.5
# via spacy
threadpoolctl==3.5.0
# via scikit-learn
timm==1.0.8
tokenizers==0.19.1
# via transformers
tomlkit==0.12.0
# via gradio
toolz==0.12.1
# via
# dask
# distributed
# partd
torch==2.4.0
# via
# fastai
# lightning
# pytorch-lightning
# timm
# torchmetrics
# torchvision
torchmetrics==1.4.0.post0
# via
# lightning
# pytorch-lightning
torchvision==0.19.0
# via
# fastai
# timm
tornado==6.4.1
# via
# bokeh
# distributed
# ipykernel
# jupyter-client
tqdm==4.66.4
# via
# huggingface-hub
# lightning
# pytorch-lightning
# spacy
# transformers
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# jupyter-client
# jupyter-core
# matplotlib-inline
transformers==4.43.3
triton==3.0.0
# via torch
typer==0.12.3
# via
# fastapi-cli
# gradio
# spacy
# weasel
typing-extensions==4.12.2
# via
# anyio
# cloudpathlib
# fastapi
# gradio
# gradio-client
# huggingface-hub
# ipython
# lightning
# lightning-utilities
# pydantic
# pydantic-core
# pytorch-lightning
# torch
# typer
# uvicorn
tzdata==2024.1
# via pandas
urllib3==2.2.2
# via
# distributed
# gradio
# requests
uvicorn==0.30.3
# via
# fastapi
# gradio
uvloop==0.19.0
# via uvicorn
wasabi==1.1.3
# via
# spacy
# thinc
# weasel
watchfiles==0.22.0
# via uvicorn
wcwidth==0.2.13
# via prompt-toolkit
weasel==0.4.1
# via spacy
websockets==11.0.3
# via
# gradio-client
# uvicorn
wrapt==1.16.0
# via smart-open
xyzservices==2024.6.0
# via bokeh
yarl==1.9.4
# via aiohttp
zict==3.0.0
# via distributed
zipp==3.19.2
# via importlib-metadata