I am new to stream-lit and I am trying to deploy an app using the stream-lit cloud facility(free version) that can be found here → Cloud • Streamlit
The app that we are building, accepts image inputs through a drag and drop interface and displays outputs to the user. This app is working fine on my local machine. The GitHub repository for the same can be found here → GitHub - adhok/SeeFood: This is a Streamlit based application that provides basic information about Desi Food (origin, ingredients & preparation time).
I tried restarting the process multiple times but it is giving the same error.
I also tried changing the name of the python file that contains stream-lit front-end functions from
streamlit_app.py to no avail.
My hypothesis is that the repository is too big (in memory) for the streamlit-cloud interface as there are Keras Model Weights present, without which the model cannot make a prediction.
Please do let me know if there is anything I should change in my repository to make this work. Thanks in advance!