fix senta readme

python/examples/senta/README.md

@@ -5,6 +5,8 @@
 ```
 python -m paddle_serving_app.package --get_model senta_bilstm
 python -m paddle_serving_app.package --get_model lac
+tar -xzvf senta_bilstm.tar.gz
+tar -xzvf lac.tar.gz
 ```
 
 ## Start HTTP Service
@@ -17,5 +19,5 @@ In this demo, the LAC task is placed in the preprocessing part of the HTTP predi
 
 ## Client prediction
 ```
-curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9292/senta/prediction
+curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9393/senta/prediction
 ```

python/examples/senta/README_CN.md

@@ -5,6 +5,8 @@
 ```
 python -m paddle_serving_app.package --get_model senta_bilstm
 python -m paddle_serving_app.package --get_model lac
+tar -xzvf lac.tar.gz
+tar -xzvf senta_bilstm.tar.gz
 ```
 
 ## 启动HTTP服务
@@ -17,5 +19,5 @@ python senta_web_service.py
 
 ## 客户端预测
 ```
-curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9292/senta/prediction
+curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9393/senta/prediction
 ```