Fix mask ratio

app.py

@@ -131,7 +131,7 @@ def predict(mask_ratio:float, image:Image):
     takes PIL image and return reconstructed image and predicted emotion label
     """
     mask_ratio = float(mask_ratio)
-    masked_image, re_image = mae_reconstruct(image, figure_name='figure/demo_temp.png')
+    masked_image, re_image = mae_reconstruct(image, figure_name='figure/demo_temp.png', mask_ratio=mask_ratio)
     predicted_labels = classify(image)
 
     return masked_image, re_image, predicted_labels