add read me

python/paddle_serving_app/README.md

+([简体中文](./README.md)|English)
+
+paddle_serivng_app is a tool component of the Paddle Serving framework, and includes functions such as pre-training model download and data pre-processing methods.
+It is convenient for users to quickly test and deploy model examples, analyze the performance of prediction services, and debug model prediction services.
+
+## Install
+
+```shell
+pip install paddle_serving_app
+```
+
+## Get model list
+
+```shell
+python -m paddle_serving_app.package --model_list
+```
+
+## Download pre-training model
+
+```shell
+python -m paddle_serving_app.package --get_model senta_bilstm
+```
+
+11 pre-trained models are built into paddle_serving_app, covering 6 kinds of prediction tasks.
+The model files can be directly used for deployment, and the `--tutorial` argument can be added to obtain the deployment method.
+
+| Prediction task | Model name                                         |
+| ------------ | ------------------------------------------------ |
+| SentimentAnalysis | 'senta_bilstm', 'senta_bow', 'senta_cnn'         |
+| SemanticRepresentation | 'ernie_base'                                     |
+| ChineseWordSegmentation     | 'lac'                                            |
+| ObjectDetection     | 'faster_rcnn', 'yolov3'                          |
+| ImageSegmentation     | 'unet', 'deeplabv3'                              |
+| ImageClassification     | 'resnet_v2_50_imagenet', 'mobilenet_v2_imagenet' |

python/paddle_serving_app/README_CN.md

+(简体中文|[English](./README_CN.md))
+
 paddle_serivng_app是Paddle Serving框架的工具组件，包含了预训练模型下载、数据预处理方法等功能。方便用户快速体验和部署模型示例、分析预测服务性能、调试模型预测服务等。
 
 ## 安装
@@ -18,7 +20,7 @@ python -m paddle_serving_app.package --model_list
 python -m paddle_serving_app.package --get_model senta_bilstm
 ```
 
-paddle_serving_app中内置了11中预训练模型，涵盖了6中预测任务。获取到的模型文件可以直接用于部署，添加`--tutorial`参数可以获取对应的部署方式。
+paddle_serving_app中内置了11中预训练模型，涵盖了6种预测任务。获取到的模型文件可以直接用于部署，添加`--tutorial`参数可以获取对应的部署方式。
 
 | 预测服务类型 | 模型名称                                         |
 | ------------ | ------------------------------------------------ |