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#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
# pip-compile --resolver=backtracking
#
aiofiles==23.1.0
# via gradio
aiohttp==3.8.4
# via
# datasets
# fsspec
# gradio
aiosignal==1.3.1
# via aiohttp
altair==5.0.1
# via gradio
anyio==3.7.0
# via
# httpcore
# starlette
async-timeout==4.0.2
# via aiohttp
attrs==23.1.0
# via
# aiohttp
# jsonschema
bertopic==0.15.0
# via -r requirements.in
certifi==2023.5.7
# via
# httpcore
# httpx
# requests
charset-normalizer==3.1.0
# via
# aiohttp
# requests
click==8.1.3
# via
# nltk
# uvicorn
contourpy==1.0.7
# via matplotlib
cycler==0.11.0
# via matplotlib
cython==0.29.35
# via hdbscan
datasets==2.12.0
# via -r requirements.in
dill==0.3.6
# via
# datasets
# multiprocess
fastapi==0.96.0
# via gradio
fastjsonschema==2.17.1
# via nbformat
ffmpy==0.3.0
# via gradio
filelock==3.12.0
# via
# huggingface-hub
# torch
# transformers
fonttools==4.39.4
# via matplotlib
frozenlist==1.3.3
# via
# aiohttp
# aiosignal
fsspec[http]==2023.5.0
# via
# datasets
# gradio-client
# huggingface-hub
gradio==3.33.1
# via -r requirements.in
gradio-client==0.2.5
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hdbscan==0.8.29
# via bertopic
httpcore==0.17.2
# via httpx
httpx==0.24.1
# via
# gradio
# gradio-client
huggingface-hub==0.15.1
# via
# datasets
# gradio
# gradio-client
# sentence-transformers
# transformers
idna==3.4
# via
# anyio
# httpx
# requests
# yarl
jinja2==3.1.2
# via
# altair
# gradio
# torch
joblib==1.2.0
# via
# hdbscan
# nltk
# pynndescent
# scikit-learn
jsonschema==4.17.3
# via
# altair
# nbformat
jupyter-core==5.3.0
# via nbformat
kiwisolver==1.4.4
# via matplotlib
linkify-it-py==2.0.2
# via markdown-it-py
llvmlite==0.40.0
# via
# numba
# pynndescent
markdown-it-py[linkify]==2.2.0
# via
# gradio
# mdit-py-plugins
markupsafe==2.1.3
# via
# gradio
# jinja2
matplotlib==3.7.1
# via gradio
mdit-py-plugins==0.3.3
# via gradio
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.0.4
# via
# aiohttp
# yarl
multiprocess==0.70.14
# via datasets
nbformat==5.9.0
# via -r requirements.in
networkx==3.1
# via torch
nltk==3.8.1
# via sentence-transformers
numba==0.57.0
# via
# pynndescent
# umap-learn
numpy==1.24.3
# via
# altair
# bertopic
# contourpy
# datasets
# gradio
# hdbscan
# matplotlib
# numba
# pandas
# pyarrow
# scikit-learn
# scipy
# sentence-transformers
# torchvision
# transformers
# umap-learn
orjson==3.9.0
# via gradio
packaging==23.1
# via
# datasets
# gradio-client
# huggingface-hub
# matplotlib
# plotly
# transformers
pandas==2.0.2
# via
# altair
# bertopic
# datasets
# gradio
pillow==9.5.0
# via
# gradio
# matplotlib
# torchvision
platformdirs==3.5.1
# via jupyter-core
plotly==5.14.1
# via bertopic
pyarrow==12.0.0
# via datasets
pydantic==1.10.8
# via
# fastapi
# gradio
pydub==0.25.1
# via gradio
pygments==2.15.1
# via gradio
pynndescent==0.5.10
# via umap-learn
pyparsing==3.0.9
# via matplotlib
pyrsistent==0.19.3
# via jsonschema
python-dateutil==2.8.2
# via
# matplotlib
# pandas
python-multipart==0.0.6
# via gradio
pytz==2023.3
# via pandas
pyyaml==6.0
# via
# datasets
# gradio
# huggingface-hub
# transformers
regex==2023.6.3
# via
# nltk
# transformers
requests==2.31.0
# via
# datasets
# fsspec
# gradio
# gradio-client
# huggingface-hub
# responses
# torchvision
# transformers
responses==0.18.0
# via datasets
safetensors==0.3.1
# via -r requirements.in
scikit-learn==1.2.2
# via
# bertopic
# hdbscan
# pynndescent
# sentence-transformers
# umap-learn
scipy==1.10.1
# via
# hdbscan
# pynndescent
# scikit-learn
# sentence-transformers
# umap-learn
semantic-version==2.10.0
# via gradio
sentence-transformers==2.2.2
# via bertopic
sentencepiece==0.1.99
# via sentence-transformers
six==1.16.0
# via python-dateutil
sniffio==1.3.0
# via
# anyio
# httpcore
# httpx
starlette==0.27.0
# via fastapi
sympy==1.12
# via torch
tenacity==8.2.2
# via plotly
threadpoolctl==3.1.0
# via scikit-learn
tokenizers==0.13.3
# via transformers
toolz==0.12.0
# via altair
torch==2.0.1
# via
# sentence-transformers
# torchvision
torchvision==0.15.2
# via sentence-transformers
tqdm==4.65.0
# via
# bertopic
# datasets
# huggingface-hub
# nltk
# sentence-transformers
# transformers
# umap-learn
traitlets==5.9.0
# via
# jupyter-core
# nbformat
transformers==4.29.2
# via sentence-transformers
typing-extensions==4.6.3
# via
# gradio
# gradio-client
# huggingface-hub
# pydantic
# torch
tzdata==2023.3
# via pandas
uc-micro-py==1.0.2
# via linkify-it-py
umap-learn==0.5.3
# via bertopic
urllib3==2.0.2
# via
# requests
# responses
uvicorn==0.22.0
# via gradio
websockets==11.0.3
# via
# gradio
# gradio-client
xxhash==3.2.0
# via datasets
yarl==1.9.2
# via aiohttp
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