app.py

import cv2
import streamlit as st
from fastai.vision.all import *
st.markdown('<h1 style="color:black;">BDI Image classification model</h1>', unsafe_allow_html=True)
learn = load_learner('export (5).pkl')
upload = st.file_uploader('Insert image for classification', type=['png','jpg'])
c1, c2= st.columns(2)
if upload is not None:
  im= Image.open(upload)




  c1.header('Input Image')
  c1.image(im)
  pred, idx, probs = learn.predict(im)

  c2.header('Output')
  c2.subheader('Predicted class :')
  c2.write(pred)