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Update requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in -o requirements.txt
aiofiles==23.2.1
# via gradio
aiohttp==3.9.5
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
altair==5.3.0
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.4.0
# via
# httpx
# starlette
# watchfiles
apscheduler==3.10.4
# via -r requirements.in
arxiv==2.1.0
# via -r requirements.in
attrs==23.2.0
# via
# aiohttp
# jsonschema
# referencing
cachetools==5.3.3
# via -r requirements.in
certifi==2024.6.2
# via
# httpcore
# httpx
# requests
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via
# typer
# uvicorn
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==2.14.4
# via
# evaluate
# setfit
dill==0.3.7
# via
# datasets
# evaluate
# multiprocess
dnspython==2.6.1
# via email-validator
email-validator==2.1.1
# via fastapi
evaluate==0.4.2
# via setfit
fastapi==0.111.0
# via gradio
fastapi-cli==0.0.4
# via fastapi
feedparser==6.0.10
# via arxiv
ffmpy==0.3.2
# via gradio
filelock==3.14.0
# via
# huggingface-hub
# torch
# transformers
fonttools==4.53.0
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec==2024.6.0
# via
# datasets
# evaluate
# gradio-client
# huggingface-hub
# torch
gradio==4.36.1
# via -r requirements.in
gradio-client==1.0.1
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.6
# via -r requirements.in
httpcore==1.0.5
# via httpx
httptools==0.6.1
# via uvicorn
httpx==0.27.0
# via
# fastapi
# gradio
# gradio-client
huggingface-hub==0.23.3
# via
# datasets
# evaluate
# gradio
# gradio-client
# sentence-transformers
# setfit
# tokenizers
# transformers
idna==3.7
# via
# anyio
# email-validator
# httpx
# requests
# yarl
importlib-resources==6.4.0
# via gradio
jinja2==3.1.4
# via
# altair
# fastapi
# gradio
# torch
joblib==1.4.2
# via scikit-learn
jsonschema==4.22.0
# 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==3.9.0
# via gradio
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.0.5
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via
# datasets
# evaluate
networkx==3.3
# via torch
numpy==1.26.4
# via
# altair
# contourpy
# datasets
# evaluate
# gradio
# matplotlib
# pandas
# pyarrow
# scikit-learn
# scipy
# sentence-transformers
# transformers
orjson==3.10.3
# via
# fastapi
# gradio
packaging==24.1
# via
# altair
# datasets
# evaluate
# gradio
# gradio-client
# huggingface-hub
# matplotlib
# setfit
# transformers
pandas==2.2.2
# via
# altair
# datasets
# evaluate
# gradio
pillow==10.3.0
# via
# gradio
# matplotlib
# sentence-transformers
pyarrow==16.1.0
# via datasets
pydantic==2.7.3
# via
# fastapi
# gradio
pydantic-core==2.18.4
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via rich
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-dotenv==1.0.1
# via uvicorn
python-multipart==0.0.9
# via
# fastapi
# gradio
pytz==2024.1
# via
# apscheduler
# pandas
pyyaml==6.0.1
# via
# datasets
# gradio
# huggingface-hub
# transformers
# uvicorn
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
regex==2024.5.15
# via transformers
requests==2.31.0
# via
# arxiv
# datasets
# evaluate
# huggingface-hub
# transformers
rich==13.7.1
# via typer
rpds-py==0.18.1
# via
# jsonschema
# referencing
ruff==0.4.8
# via gradio
safetensors==0.4.3
# via transformers
scikit-learn==1.2.2
# via
# -r requirements.in
# sentence-transformers
# setfit
scipy==1.13.1
# via
# scikit-learn
# sentence-transformers
semantic-version==2.10.0
# via gradio
sentence-transformers==3.0.1
# via setfit
setfit==1.0.3
# via -r requirements.in
sgmllib3k==1.0.0
# via feedparser
shellingham==1.5.4
# via typer
six==1.16.0
# via
# apscheduler
# python-dateutil
sniffio==1.3.1
# via
# anyio
# httpx
stamina==24.2.0
# via -r requirements.in
starlette==0.37.2
# via fastapi
sympy==1.12.1
# via torch
tenacity==8.3.0
# via stamina
threadpoolctl==3.5.0
# via scikit-learn
tokenizers==0.19.1
# via transformers
tomlkit==0.12.0
# via gradio
toolz==0.12.1
# via altair
torch==2.3.1
# via sentence-transformers
tqdm==4.66.4
# via
# datasets
# evaluate
# huggingface-hub
# sentence-transformers
# transformers
transformers==4.41.2
# via sentence-transformers
typer==0.12.3
# via
# fastapi-cli
# gradio
typing-extensions==4.12.2
# via
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# torch
# typer
tzdata==2024.1
# via pandas
tzlocal==5.2
# via apscheduler
ujson==5.10.0
# via fastapi
urllib3==2.2.1
# via
# gradio
# requests
uvicorn==0.30.1
# via
# fastapi
# gradio
uvloop==0.19.0
# via uvicorn
watchfiles==0.22.0
# via uvicorn
websockets==11.0.3
# via
# gradio-client
# uvicorn
xxhash==3.4.1
# via
# datasets
# evaluate
yarl==1.9.4
# via aiohttp