Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.
Johannes from the Streamlit team here :) I am currently investigating why apps run over the resource limits of Streamlit Sharing and saw that your app was affected yesterday. Thought I'd send you a small PR that adds st.cache to your app, which should make it consume less memory (and not run into resource limits again!). More about this function here. Hope this works for you and let me know if you have any other questions!
Hi @golden-panther,
Johannes from the Streamlit team here :) I am currently investigating why apps run over the resource limits of Streamlit Sharing and saw that your app was affected yesterday. Thought I'd send you a small PR that adds
st.cacheto your app, which should make it consume less memory (and not run into resource limits again!). More about this function here. Hope this works for you and let me know if you have any other questions!Cheers, Johannes