I’m building a demo version of a machine learning tool I’m developping for my PhD using
Streamlit. I’m trying to deploy it to Streamlit cloud. The deployment work but I need help with something.
Is it possible during deployment to download a file ? I need to have my machine-learning model
model.h5 to be downloaded at the root of the application (next to my
Home.py. It is possible to run a simple
wget to my download URL during deployement ? If not what would be the alternative ? I could add it to the git repo, but it seem’s not ideal giving the model size.
My demo code is here: GitHub - lambda-science/HistoQuant-Streamlit: Streamlit application code for my histology quantification project
I’m simply trying to run
model_sdh = keras.models.load_model("model.h5")
Have a nice day