Update app.py

app.py

@@ -29,18 +29,18 @@ opt = st.selectbox("How do you want to upload the image for classification?", ('
 if opt == 'Upload image from device':
     file = st.file_uploader('Select', type=['jpg', 'png', 'jpeg'])
     if file is not None:
-        file_Image = Image.open(file).resize((256, 256), Image.LANCZOS)
+        image = Image.open(file).resize((256, 256), Image.LANCZOS)
 
 
 elif opt == 'Upload image via link':
     img_url = st.text_input('Enter the Image Address')
     try:
-        file_Image = Image.open(urllib.request.urlopen(img_url)).resize((256, 256), Image.LANCZOS)
+        image = Image.open(urllib.request.urlopen(img_url)).resize((256, 256), Image.LANCZOS)
     except ValueError:
         st.error("Please Enter a valid Image Address!")
 
 if 'image' in locals():  # Check if image variable exists
-    st.image(file_Image, width=300, caption='Uploaded Image')
+    st.image(image, width=300, caption='Uploaded Image')
 
     if st.button('Predict'):
         try:
@@ -48,7 +48,7 @@ if 'image' in locals():  # Check if image variable exists
             st.info('Worked1')
             
             # Ensure image shape is correct and add batch dimension
-            img_array = preprocess(file_Image)  # This should return an array of shape (1, 256, 256, 3)
+            img_array = preprocess(image)  # This should return an array of shape (1, 256, 256, 3)
 
             st.info('Worked2')