Update app.py

app.py

@@ -71,11 +71,10 @@ images_means = {148.5175: '1205045288117020016.npy',
 def predict(ash_image, model=model):
     #label = np.load(label_image)
     # ash_image = np.load('images/552609781892851211.npy')
-    print(images_means)
-    print(ash_image)
+
     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])