diff --git a/doc/UWSGI_DEPLOY.md b/doc/UWSGI_DEPLOY.md
index 02c0488d1bc0c43e050421e0991125fb3a4d644e..62527db1732c733d903c4f178da0622a28d1f1f1 100644
--- a/doc/UWSGI_DEPLOY.md
+++ b/doc/UWSGI_DEPLOY.md
@@ -1,6 +1,6 @@
-# 使用uwsgi启动HTTP预测服务
+# Deploy HTTP service with uWSGI
 
-在提供的fit_a_line示例中，启动HTTP预测服务后会看到有以下信息：
+In fit_a_line example, after starting the HTTP prediction service, you will see the following information:
 
 ```shell
 web service address:
@@ -13,46 +13,31 @@ http://10.127.3.150:9393/uci/prediction
  * Running on http://0.0.0.0:9393/ (Press CTRL+C to quit)
 ```
 
-这里会提示启动的HTTP服务是开发模式，并不能用于生产环境的部署。Flask启动的服务环境不够稳定也无法承受大量请求的并发，实际部署过程中配合需要WSGI（Web Server Gateway Interface）使用。
+Here you will be prompted that the HTTP service started is in development mode and cannot be used for production deployment. 
+The prediction service started by Flask is not stable enough to withstand the concurrency of a large number of requests. In the actual deployment process, WSGI (Web Server Gateway Interface) is used.
 
-下面我们展示一下如何使用[uWSGI](https://github.com/unbit/uwsgi)模块来部署HTTP预测服务用于生产环境。
+Next, we will show how to use the [uWSGI] (https://github.com/unbit/uwsgi) module to deploy HTTP prediction services for production environments.
 
-编写HTTP服务脚本
 
 ```python
 #uwsgi_service.py
 from paddle_serving_server.web_service import WebService
-from flask import Flask, request
 
-#配置预测服务
+#Define prediction service
 uci_service = WebService(name = "uci")
 uci_service.load_model_config("./uci_housing_model")
 uci_service.prepare_server(workdir="./workdir", port=int(9500), device="cpu")
 uci_service.run_server()
-
-#配置flask服务
-app_instance = Flask(__name__)
-@app_instance.before_first_request
-def init():
-    global uci_service
-    uci_service._launch_web_service()
-
-service_name = "/" + uci_service.name + "/prediction"
-@app_instance.route(service_name, methods=["POST"])
-def run():
-    return uci_service.get_prediction(request)
-
-#run方法用于直接调试中直接启动服务
-if __name__ == "__main__":
-    app_instance.run()
+#Get flask application
+app_instance = uci_service.get_app_instance()
 ```
 
-使用uwsgi启动HTTP服务
+Start service with uWSGI
 
 ```bash
-uwsgi --http :9000 --wsgi-file uwsgi_service.py --callable app_instance --processes 4
+uwsgi --http :9393 --module uwsgi_service:app_instance
 ```
 
-使用--processes参数可以指定服务的进程数，请注意目前Serving HTTP 服务暂时不支持多线程的方式使用。
+Use the --processes parameter to specify the number of service processes. 
 
-更多uWSGI的信息请参考[uWSGI使用文档](https://uwsgi-docs.readthedocs.io/en/latest/)
+For more information about uWSGI, please refer to [uWSGI documentation](https://uwsgi-docs.readthedocs.io/en/latest/)
diff --git a/doc/UWSGI_DEPLOY_CN.md b/doc/UWSGI_DEPLOY_CN.md
new file mode 100644
index 0000000000000000000000000000000000000000..e5a69618f3c07831861550706d5828bbe57c5a3e
--- /dev/null
+++ b/doc/UWSGI_DEPLOY_CN.md
@@ -0,0 +1,43 @@
+# 使用uwsgi启动HTTP预测服务
+
+在提供的fit_a_line示例中，启动HTTP预测服务后会看到有以下信息：
+
+```shell
+web service address:
+http://10.127.3.150:9393/uci/prediction
+ * Serving Flask app "serve" (lazy loading)
+ * Environment: production
+   WARNING: This is a development server. Do not use it in a production deployment.
+   Use a production WSGI server instead.
+ * Debug mode: off
+ * Running on http://0.0.0.0:9393/ (Press CTRL+C to quit)
+```
+
+这里会提示启动的HTTP服务是开发模式，并不能用于生产环境的部署。Flask启动的服务环境不够稳定也无法承受大量请求的并发，实际部署过程中配合需要WSGI（Web Server Gateway Interface）使用。
+
+下面我们展示一下如何使用[uWSGI](https://github.com/unbit/uwsgi)模块来部署HTTP预测服务用于生产环境。
+
+编写HTTP服务脚本
+
+```python
+#uwsgi_service.py
+from paddle_serving_server.web_service import WebService
+
+#配置预测服务
+uci_service = WebService(name = "uci")
+uci_service.load_model_config("./uci_housing_model")
+uci_service.prepare_server(workdir="./workdir", port=int(9500), device="cpu")
+uci_service.run_server()
+#获取flask服务
+app_instance = uci_service.get_app_instance()
+```
+
+使用uwsgi启动HTTP服务
+
+```bash
+uwsgi --http :9393 --module uwsgi_service:app_instance
+```
+
+使用--processes参数可以指定服务的进程数。
+
+更多uWSGI的信息请参考[uWSGI使用文档](https://uwsgi-docs.readthedocs.io/en/latest/)