Update app.py

app.py

@@ -110,7 +110,7 @@ def KNN_predict(train_features, train_labels, test_feature, K):
   ### get frequency of classes
   class_freq = {}
   for i in range(0,10):
-      class_freq['digit '+str(i)] = float(major_class.count(i)) / len(major_class)
+      class_freq['Digit '+str(i)] = float(major_class.count(i)) / len(major_class)
 
   ### get neighbor images and save to local 
   neighbor_imgs =np.array(neighbor_imgs)