Upload app.py

app.py

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+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("Counted Items are : ", len(cnt))
+        
+if __name__ == '__main__':
+    ui()