Would it be possible to have Tensorflow and Keras installed in the base container?
I am currently working on a
Flask server that is designed to serve a
keras model. Part of this is going to be discussed in a conference talk I am giving next week.
Right now even just attempting to install 1 of these packages exceeds the storage quota.
Locally if I install
keras it comes to 491M.
I have got the requirements compiled to a slug under Heroku, and just about got the requirements installed with pythonanywhere if I swap out
theano. However one of my goals is to have an example that others can jump right into a working copy and adapt to their needs, which is why I love Glitch. Heroku and pythonanywhere don’t even come close to this flexibility.
I completely appreciate that Python is not officially supported and understand if this wouldn’t be possible