Update app.py

app.py

@@ -41,12 +41,10 @@ if uploaded_img is not None:
     file_bytes = np.frombuffer(uploaded_img.read(), np.uint8)
     img = cv2.imdecode(file_bytes, cv2.IMREAD_GRAYSCALE)
     img_resized = cv2.resize(img,(28,28),interpolation=cv2.INTER_AREA)
-    img_norm = img_resized.astype('float32') / 255.0
-    input_img = img_norm.reshape(1,28,28,1)
+    #img_norm = img_resized.astype('float32') / 255.0
+    input_img = img_resized.reshape(1,28,28,1)
+    
     
-    #model.predict(np.zeros((1, 28, 28, 1), dtype=np.float32))
-    # dummy_input = tf.zeros((1, 28, 28, 1))
-    # _ = model(dummy_input)
 
     st.image(img_norm, caption="Uploaded Image (Resized to 28x28)", use_container_width =True, channels="GRAY")