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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==3.8.5
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
altair==5.1.2
# via gradio
annotated-types==0.5.0
# via pydantic
anyio==3.7.1
# via
# fastapi
# httpcore
# starlette
apscheduler==3.10.4
# via -r requirements.in
arxiv==1.4.8
# via -r requirements.in
async-timeout==4.0.3
# via aiohttp
attrs==23.1.0
# via
# aiohttp
# jsonschema
# referencing
cachetools==5.3.1
# via -r requirements.in
certifi==2023.7.22
# via
# httpcore
# httpx
# requests
charset-normalizer==3.3.0
# via
# aiohttp
# requests
click==8.1.7
# via
# nltk
# uvicorn
contourpy==1.1.1
# via matplotlib
cycler==0.12.0
# via matplotlib
datasets==2.14.5
# via
# evaluate
# setfit
dill==0.3.7
# via
# datasets
# evaluate
# multiprocess
evaluate==0.4.0
# via setfit
fastapi==0.103.2
# via gradio
feedparser==6.0.10
# via arxiv
ffmpy==0.3.1
# via gradio
filelock==3.12.4
# via
# huggingface-hub
# torch
# transformers
fonttools==4.43.0
# via matplotlib
frozenlist==1.4.0
# via
# aiohttp
# aiosignal
fsspec[http]==2023.6.0
# via
# datasets
# evaluate
# gradio-client
# huggingface-hub
# torch
gradio==3.46.1
# via -r requirements.in
gradio-client==0.5.3
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.3
# via -r requirements.in
httpcore==0.18.0
# via httpx
httpx==0.25.0
# via
# gradio
# gradio-client
huggingface-hub==0.16.4
# via
# datasets
# evaluate
# gradio
# gradio-client
# sentence-transformers
# tokenizers
# transformers
idna==3.4
# via
# anyio
# httpx
# requests
# yarl
importlib-resources==6.1.0
# via gradio
jinja2==3.1.2
# via
# altair
# gradio
# torch
joblib==1.3.2
# via
# nltk
# scikit-learn
jsonschema==4.19.1
# via altair
jsonschema-specifications==2023.7.1
# via jsonschema
kiwisolver==1.4.5
# via matplotlib
markupsafe==2.1.3
# via
# gradio
# jinja2
matplotlib==3.8.0
# via gradio
mpmath==1.3.0
# via sympy
multidict==6.0.4
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via
# datasets
# evaluate
networkx==3.1
# via torch
nltk==3.8.1
# via sentence-transformers
numpy==1.26.0
# via
# altair
# contourpy
# datasets
# evaluate
# gradio
# matplotlib
# pandas
# pyarrow
# scikit-learn
# scipy
# sentence-transformers
# torchvision
# transformers
orjson==3.9.7
# via gradio
packaging==23.2
# via
# altair
# datasets
# evaluate
# gradio
# gradio-client
# huggingface-hub
# matplotlib
# transformers
pandas==2.1.1
# via
# altair
# datasets
# evaluate
# gradio
pillow==10.0.1
# via
# gradio
# matplotlib
# torchvision
pyarrow==13.0.0
# via datasets
pydantic==2.4.2
# via
# fastapi
# gradio
pydantic-core==2.10.1
# via pydantic
pydub==0.25.1
# via gradio
pyparsing==3.1.1
# via matplotlib
python-dateutil==2.8.2
# via
# matplotlib
# pandas
python-multipart==0.0.6
# via gradio
pytz==2023.3.post1
# via
# apscheduler
# pandas
pyyaml==6.0.1
# via
# datasets
# gradio
# huggingface-hub
# transformers
referencing==0.30.2
# via
# jsonschema
# jsonschema-specifications
regex==2023.10.3
# via
# nltk
# transformers
requests==2.31.0
# via
# datasets
# evaluate
# fsspec
# gradio
# gradio-client
# huggingface-hub
# responses
# torchvision
# transformers
responses==0.18.0
# via evaluate
rpds-py==0.10.4
# via
# jsonschema
# referencing
safetensors==0.3.3
# via transformers
scikit-learn==1.2.2
# via
# -r requirements.in
# sentence-transformers
scipy==1.11.3
# via
# scikit-learn
# sentence-transformers
semantic-version==2.10.0
# via gradio
sentence-transformers==2.2.2
# via setfit
sentencepiece==0.1.99
# via sentence-transformers
setfit==0.7.0
# via -r requirements.in
sgmllib3k==1.0.0
# via feedparser
six==1.16.0
# via
# apscheduler
# python-dateutil
sniffio==1.3.0
# via
# anyio
# httpcore
# httpx
stamina==23.1.0
# via -r requirements.in
starlette==0.27.0
# via fastapi
sympy==1.12
# via torch
tenacity==8.2.3
# via stamina
threadpoolctl==3.2.0
# via scikit-learn
tokenizers==0.14.0
# via transformers
toolz==0.12.0
# via altair
torch==2.1.0
# via
# sentence-transformers
# torchvision
torchvision==0.16.0
# via sentence-transformers
tqdm==4.66.1
# via
# datasets
# evaluate
# huggingface-hub
# nltk
# sentence-transformers
# transformers
transformers==4.34.0
# via sentence-transformers
typing-extensions==4.8.0
# via
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# torch
tzdata==2023.3
# via pandas
tzlocal==5.1
# via apscheduler
urllib3==2.0.6
# via
# requests
# responses
uvicorn==0.23.2
# via gradio
websockets==11.0.3
# via
# gradio
# gradio-client
xxhash==3.4.1
# via
# datasets
# evaluate
yarl==1.9.2
# via aiohttp
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