Update app.py

app.py

@@ -36,7 +36,7 @@ def predict_top_classes(img, model_name):
     temp = model.predict(x)
 
     idx = np.argsort(np.squeeze(temp))[::-1]
-    top5_value = np.asarray([temp[0][i] for i in idx[0:5])
+    top5_value = np.asarray([temp[0][i] for i in idx[0:5]])
     top5_idx = idx[0:5]
 
     return {CLASS_LABEL[i]: str(v) for i, v in zip(top5_idx, top5_value)}