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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
starlette==0.27.0
    # via fastapi
sympy==1.12
    # via torch
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