requirements.txt

# Top level requirements:

# starlette
# uvicorn
# python-multipart
# aiohttp
# torch==1.5.0+cpu
# torchvision==0.6.0+cpu
# fastai~=1.0

# Non-cuda (CPU only) pytorch libs save more than a GIG vs a simple `pip install torch torchvision`.
# Even so, python libs still contribute >700 MB.
# Get exact pytorch PIP cmd from this page, using settings: stable, linux, pip, python, CUDA=none.
# https://pytorch.org/get-started/locally/

--find-links https://download.pytorch.org/whl/torch_stable.html

aiohttp==3.6.2
async-timeout==3.0.1
attrs==19.3.0
beautifulsoup4==4.9.1
Bottleneck==1.3.2
certifi==2020.4.5.1
chardet==3.0.4
click==7.1.2
cycler==0.10.0
fastai==1.0.61
fastprogress==0.2.3
future==0.18.2
h11==0.9.0
httptools==0.1.1
idna==2.9
kiwisolver==1.2.0
matplotlib==3.2.1
multidict==4.7.6
numexpr==2.7.1
numpy==1.18.4
nvidia-ml-py3==7.352.0
packaging==20.3
pandas==1.0.3
Pillow==7.1.2
pyparsing==2.4.7
python-dateutil==2.8.1
python-multipart==0.0.5
pytz==2020.1
PyYAML==5.3.1
requests==2.23.0
scipy==1.4.1
six==1.14.0
soupsieve==2.0.1
starlette==0.13.4
torch==1.5.0+cpu
torchvision==0.6.0+cpu
urllib3==1.25.9
uvicorn==0.11.5
uvloop==0.14.0
websockets==8.1
yarl==1.4.2