diff --git a/deploy/hubserving/clas/params.py b/deploy/hubserving/clas/params.py
index 358d116d3..9d9c0dda6 100644
--- a/deploy/hubserving/clas/params.py
+++ b/deploy/hubserving/clas/params.py
@@ -33,8 +33,10 @@ def get_default_confg():
             "enable_benchmark": False
         },
         'PostProcess': {
-            'name': 'Topk',
-            'topk': 5,
-            'class_id_map_file': './utils/imagenet1k_label_list.txt'
+            'main_indicator': 'Topk',
+            'Topk': {
+                'topk': 5,
+                'class_id_map_file': './utils/imagenet1k_label_list.txt'
+            }
         }
-    }
\ No newline at end of file
+    }
diff --git a/paddleclas.py b/paddleclas.py
index 4c878691a..72924a0fb 100644
--- a/paddleclas.py
+++ b/paddleclas.py
@@ -407,7 +407,7 @@ class PaddleClas(object):
         Args:
             model_name: The model name supported by PaddleClas, default by None. If specified, override config.
             inference_model_dir: The directory that contained model file and params file to be used, default by None. If specified, override config.
-            use_gpu: Wheather use GPU, default by None. If specified, override config.
+            use_gpu: whether use GPU, default by None. If specified, override config.
             batch_size: The batch size to pridict, default by None. If specified, override config.
             topk: Return the top k prediction results with the highest score.
         """
@@ -459,7 +459,7 @@ class PaddleClas(object):
 
         Args:
             input_data (str | NumPy.array): The path of image, or the directory containing images, or the URL of image from Internet.
-            print_pred (bool, optional): Wheather print the prediction result. Defaults to False.
+            print_pred (bool, optional): whether print the prediction result. Defaults to False.
 
         Raises:
             ImageTypeError: Illegal input_data.