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Update app.py
5f51d04 verified
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)