Update app.py

app.py

@@ -30,11 +30,9 @@ opt = st.selectbox("How do you want to upload the image for classification?",
 image = None
 if opt == 'Upload image from device':
     file = st.file_uploader('Select', type=['jpg', 'png', 'jpeg'])
-    print(file)
     if file:
         try:
             image = Image.open(io.BytesIO(file.read())).resize((256, 256), Image.LANCZOS)
-            print(image)
         except Exception as e:
             st.error(f"Error reading the file: {e}")
 
@@ -51,17 +49,12 @@ try:
   if image is not None:
     st.image(image, width = 256, caption = 'Uploaded Image')
     if st.button('Predict'):
-        st.info(print(image))
         img = preprocess(image)
-        st.info(print(img))
 
         model = model_arc()
         #model.load_weights("classify_model.h5")
 
-        
-        print(model)
         prediction = model.predict(img[np.newaxis, ...])
-        print(prediction)
         st.info('Hey! The uploaded image has been classified as " {} waste " '.format(labels[np.argmax(prediction[0], axis=-1)]))
 except Exception as e:
   st.info(e)