diff --git a/README.md b/README.md
index e7d9fa03f577261f025e10a16951a421f644cd8c..b328482437209294f09afb83caff82699a0c3659 100644
--- a/README.md
+++ b/README.md
@@ -61,9 +61,9 @@ Packages of Paddle Serving support Centos 6/7 and Ubuntu 16/18, or you can use H
 <h3 align="center">Chinese Word Segmentation</h4>
 
 ``` shell
-> python -m paddle_serving_app.package -get_model lac
+> python -m paddle_serving_app.package --get_model lac
 > tar -xzf lac.tar.gz
-> python lac_web_service.py 9292 &
+> python lac_web_service.py 9393 &
 > curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://127.0.0.1:9393/lac/prediction
 {"result":[{"word_seg":"我|爱|北京|天安门"}]}
 ```
@@ -77,7 +77,7 @@ Packages of Paddle Serving support Centos 6/7 and Ubuntu 16/18, or you can use H
 <p>
     
 ``` shell
-> python -m paddle_serving_app.package -get_model resnet_v2_50_imagenet
+> python -m paddle_serving_app.package --get_model resnet_v2_50_imagenet
 > tar -xzf resnet_v2_50_imagenet.tar.gz
 > python resnet50_imagenet_classify.py resnet50_serving_model &
 > curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:9292/image/prediction
diff --git a/README_CN.md b/README_CN.md
index 3eeb5c2b53407e0e552ce5a53a059e1312f7c22a..60fe26b8a45e16802fe66a100aab4919dc3d0512 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -62,9 +62,9 @@ Paddle Serving安装包支持Centos 6/7和Ubuntu 16/18，或者您可以使用HT
 <h3 align="center">中文分词</h4>
 
 ``` shell
-> python -m paddle_serving_app.package -get_model lac
+> python -m paddle_serving_app.package --get_model lac
 > tar -xzf lac.tar.gz
-> python lac_web_service.py 9292 &
+> python lac_web_service.py 9393 &
 > curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://127.0.0.1:9393/lac/prediction
 {"result":[{"word_seg":"我|爱|北京|天安门"}]}
 ```
@@ -78,7 +78,7 @@ Paddle Serving安装包支持Centos 6/7和Ubuntu 16/18，或者您可以使用HT
 <p>
     
 ``` shell
-> python -m paddle_serving_app.package -get_model resnet_v2_50_imagenet
+> python -m paddle_serving_app.package --get_model resnet_v2_50_imagenet
 > tar -xzf resnet_v2_50_imagenet.tar.gz
 > python resnet50_imagenet_classify.py resnet50_serving_model &
 > curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:9292/image/prediction