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#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
# pip-compile
#
aiofiles==23.2.1
# via gradio
aiohttp==3.9.3
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
altair==5.2.0
# via gradio
annotated-types==0.6.0
# via pydantic
anyio==4.2.0
# via
# httpx
# starlette
attrs==23.2.0
# via
# aiohttp
# jsonschema
# referencing
cachetools==5.3.2
# via -r requirements.in
certifi==2024.2.2
# via
# httpcore
# httpx
# requests
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via
# typer
# uvicorn
colorama==0.4.6
# via typer
contourpy==1.2.0
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==2.16.1
# via -r requirements.in
dill==0.3.7
# via
# datasets
# multiprocess
fastapi==0.109.2
# via gradio
ffmpy==0.3.1
# via gradio
filelock==3.13.1
# via
# datasets
# huggingface-hub
fonttools==4.47.2
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec[http]==2023.10.0
# via
# datasets
# gradio-client
# huggingface-hub
gradio==4.16.0
# via -r requirements.in
gradio-client==0.8.1
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
h2==4.1.0
# via httpx
hf-transfer==0.1.5
# via -r requirements.in
hpack==4.0.0
# via h2
httpcore==1.0.2
# via httpx
httpx[http2]==0.26.0
# via
# -r requirements.in
# gradio
# gradio-client
huggingface-hub==0.20.3
# via
# datasets
# gradio
# gradio-client
hyperframe==6.0.1
# via h2
idna==3.6
# via
# anyio
# httpx
# requests
# yarl
importlib-resources==6.1.1
# via gradio
jinja2==3.1.3
# via
# altair
# gradio
jsonschema==4.21.1
# via altair
jsonschema-specifications==2023.12.1
# via jsonschema
kiwisolver==1.4.5
# via matplotlib
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.8.2
# via gradio
mdurl==0.1.2
# via markdown-it-py
multidict==6.0.5
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via datasets
numpy==1.26.3
# via
# altair
# contourpy
# datasets
# gradio
# matplotlib
# pandas
# pyarrow
orjson==3.9.13
# via gradio
packaging==23.2
# via
# altair
# datasets
# gradio
# gradio-client
# huggingface-hub
# matplotlib
# plotly
pandas==2.2.0
# via
# altair
# datasets
# gradio
pillow==10.2.0
# via
# gradio
# matplotlib
plotly==5.18.0
# via -r requirements.in
polars==0.20.7
# via -r requirements.in
pyarrow==15.0.0
# via
# -r requirements.in
# datasets
pyarrow-hotfix==0.6
# via datasets
pydantic==2.6.0
# via
# fastapi
# gradio
pydantic-core==2.16.1
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.17.2
# via rich
pyparsing==3.1.1
# via matplotlib
python-dateutil==2.8.2
# via
# matplotlib
# pandas
python-dotenv==1.0.1
# via -r requirements.in
python-multipart==0.0.7
# via gradio
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via
# datasets
# gradio
# huggingface-hub
referencing==0.33.0
# via
# jsonschema
# jsonschema-specifications
requests==2.31.0
# via
# datasets
# fsspec
# huggingface-hub
rich==13.7.0
# via typer
rpds-py==0.17.1
# via
# jsonschema
# referencing
ruff==0.2.0
# via gradio
semantic-version==2.10.0
# via gradio
shellingham==1.5.4
# via typer
six==1.16.0
# via python-dateutil
sniffio==1.3.0
# via
# anyio
# httpx
starlette==0.36.3
# via fastapi
tenacity==8.2.3
# via plotly
tomlkit==0.12.0
# via gradio
toolz==0.12.1
# via
# -r requirements.in
# altair
tqdm==4.66.1
# via
# datasets
# huggingface-hub
typer[all]==0.9.0
# via gradio
typing-extensions==4.9.0
# via
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# typer
tzdata==2023.4
# via pandas
urllib3==2.2.0
# via requests
uvicorn==0.27.0.post1
# via gradio
websockets==11.0.3
# via gradio-client
xxhash==3.4.1
# via datasets
yarl==1.9.4
# via aiohttp