Unani-Medicine-AI-Engine / requirements.txt
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AI Engine API
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile
#
aiofiles==23.1.0
# via gradio
aiohttp==3.8.4
# via
# datasets
# fsspec
# gradio
aiosignal==1.3.1
# via aiohttp
altair==4.2.2
# via gradio
anyio==3.6.2
# via
# httpcore
# starlette
async-timeout==4.0.2
# via aiohttp
attrs==22.2.0
# via
# aiohttp
# jsonschema
# sagemaker
boto3==1.26.133
# via
# -r requirements.in
# sagemaker
botocore==1.29.133
# via
# boto3
# s3transfer
certifi==2022.12.7
# via
# httpcore
# httpx
# requests
charset-normalizer==3.1.0
# via
# aiohttp
# requests
click==8.1.3
# via uvicorn
cloudpickle==2.2.1
# via sagemaker
colorama==0.4.6
# via
# click
# tqdm
contextlib2==21.6.0
# via schema
contourpy==1.0.7
# via matplotlib
cycler==0.11.0
# via matplotlib
datasets==2.12.0
# via -r requirements.in
dill==0.3.6
# via
# datasets
# multiprocess
# pathos
entrypoints==0.4
# via altair
fastapi==0.95.1
# via
# -r requirements.in
# gradio
ffmpy==0.3.0
# via gradio
filelock==3.12.0
# via
# huggingface-hub
# torch
# transformers
fonttools==4.39.3
# via matplotlib
frozenlist==1.3.3
# via
# aiohttp
# aiosignal
fsspec[http]==2023.4.0
# via
# datasets
# gradio-client
# huggingface-hub
google-pasta==0.2.0
# via sagemaker
gradio==3.28.3
# via -r requirements.in
gradio-client==0.2.0
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
httpcore==0.17.0
# via httpx
httpx==0.24.0
# via
# gradio
# gradio-client
huggingface-hub==0.14.1
# via
# datasets
# gradio
# gradio-client
# transformers
idna==3.4
# via
# anyio
# httpx
# requests
# yarl
importlib-metadata==4.13.0
# via sagemaker
jinja2==3.1.2
# via
# altair
# gradio
# torch
jmespath==1.0.1
# via
# boto3
# botocore
joblib==1.2.0
# via scikit-learn
jsonschema==4.17.3
# via
# altair
# sagemaker
kiwisolver==1.4.4
# via matplotlib
linkify-it-py==2.0.2
# via markdown-it-py
markdown-it-py[linkify]==2.2.0
# via
# gradio
# mdit-py-plugins
markupsafe==2.1.2
# via
# gradio
# jinja2
matplotlib==3.7.1
# via
# gradio
# seaborn
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
# pathos
networkx==3.1
# via torch
numpy==1.24.3
# via
# altair
# contourpy
# datasets
# gradio
# matplotlib
# pandas
# pyarrow
# sagemaker
# scikit-learn
# scipy
# seaborn
# transformers
orjson==3.8.11
# via gradio
packaging==23.1
# via
# datasets
# gradio-client
# huggingface-hub
# matplotlib
# sagemaker
# transformers
pandas==2.0.1
# via
# altair
# datasets
# gradio
# sagemaker
# seaborn
pathos==0.3.0
# via sagemaker
pillow==9.5.0
# via
# gradio
# matplotlib
platformdirs==3.5.1
# via sagemaker
pox==0.3.2
# via pathos
ppft==1.7.6.6
# via pathos
protobuf==3.20.3
# via
# protobuf3-to-dict
# sagemaker
protobuf3-to-dict==0.1.5
# via sagemaker
pyarrow==12.0.0
# via datasets
pydantic==1.10.7
# via
# fastapi
# gradio
pydub==0.25.1
# via gradio
pygments==2.15.1
# via gradio
pyparsing==3.0.9
# via matplotlib
pyrsistent==0.19.3
# via jsonschema
python-dateutil==2.8.2
# via
# botocore
# matplotlib
# pandas
python-multipart==0.0.6
# via gradio
pytz==2023.3
# via pandas
pyyaml==5.4.1
# via
# datasets
# gradio
# huggingface-hub
# sagemaker
# transformers
regex==2023.5.5
# via transformers
requests==2.30.0
# via
# datasets
# fsspec
# gradio
# gradio-client
# huggingface-hub
# responses
# transformers
responses==0.18.0
# via datasets
s3transfer==0.6.1
# via boto3
sagemaker==2.154.0
# via -r requirements.in
schema==0.7.5
# via sagemaker
scikit-learn==1.2.2
# via -r requirements.in
scipy==1.10.1
# via scikit-learn
seaborn==0.12.2
# via -r requirements.in
semantic-version==2.10.0
# via gradio
six==1.16.0
# via
# google-pasta
# protobuf3-to-dict
# python-dateutil
smdebug-rulesconfig==1.0.1
# via sagemaker
sniffio==1.3.0
# via
# anyio
# httpcore
# httpx
starlette==0.26.1
# via fastapi
sympy==1.12
# via torch
tblib==1.7.0
# via sagemaker
threadpoolctl==3.1.0
# via scikit-learn
tokenizers==0.13.3
# via transformers
toolz==0.12.0
# via altair
torch==2.0.1
# via -r requirements.in
tqdm==4.65.0
# via
# datasets
# huggingface-hub
# transformers
transformers==4.29.1
# via -r requirements.in
typing-extensions==4.5.0
# via
# gradio
# gradio-client
# huggingface-hub
# pydantic
# torch
tzdata==2023.3
# via pandas
uc-micro-py==1.0.2
# via linkify-it-py
urllib3==1.26.15
# via
# botocore
# requests
# responses
uvicorn==0.22.0
# via
# -r requirements.in
# gradio
websockets==11.0.2
# via
# gradio
# gradio-client
xxhash==3.2.0
# via datasets
yarl==1.9.2
# via aiohttp
zipp==3.15.0
# via importlib-metadata