app.py

import streamlit as st
from fastai.vision.all import *

learn = load_learner('stage-1_resnet.pkl')

categories = ('DR','NO_DR')

def classify_image(img):
    img = PILImage.create(img)
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png"])

if uploaded_file is not None:
    image = PILImage.create(uploaded_file)
    st.image(image, caption='Uploaded Image.', use_column_width=True)
    prediction = classify_image(image)
    st.write("Prediction:", prediction)