Update app.py

app.py

@@ -74,6 +74,7 @@ def predict(ash_image, model=model):
 
     im = np.asarray(Image.open(ash_image))
     im_mean = round(im.mean(),4)
+    print(im_mean)
 
     if im_mean in images_means:
         im = np.load('numpy_files/' + images_means[im_mean])