app.py

import streamlit as st 
import skimage.io as io
from PIL import Image
import numpy as np
import cv2 

def ui(): 
    st.markdown("# Items counter")
    uploaded_file = st.file_uploader("Upload an Image", type=['png', 'jpeg', 'jpg'])

    if uploaded_file is not None:
        image = Image.open(uploaded_file)
        img_array = np.array(image)
        gray = cv2.cvtColor(img_array, cv2.COLOR_BGR2GRAY)
        blur = cv2.GaussianBlur(gray, (11, 11), 0)
        canny = cv2.Canny(blur, 30, 150, 3)
        dilated = cv2.dilate(canny, (1, 1), iterations=0)
        (cnt, hierarchy) = cv2.findContours(
	    dilated.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
        rgb = cv2.cvtColor(img_array, cv2.COLOR_BGR2RGB)
        cv2.drawContours(rgb, cnt, -1, (0, 255, 0), 2)

        st.image(rgb, width = 500, channels = 'RGB')
        st.markdown(f"Counted Items are:{len(cnt)}")
        
if __name__ == '__main__':
    ui()