Update app.py

app.py

@@ -13,10 +13,7 @@ def predict_and_visualize(img):
     # Store the original image size
     original_size = img.size
     
-    # Convert the input image to the target size expected by the model
-    img_resized = img.resize((256, 256))
-    img_array = np.array(img_resized) / 255.0  # Normalize the image
-    img_array = np.expand_dims(img_array, axis=0)  # Add batch dimension
+
 
     # Make a prediction
     prediction = model.predict(img_array)