`imdb_model` is the server side model with serving configurations. `imdb_client_conf` is the client rpc configurations. Serving has a
dictionary for `Feed` and `Fetch` variables for client to assign. In the example, `{"words": data}` is the feed dict that specify the input of saved inference model. `{"prediction": prediction}` is the fetch dic that specify the output of saved inference model. An alias name can be defined for feed and fetch variables. An example of how to use alias name
`imdb_model` is the server side model with serving configurations. `imdb_client_conf` is the client rpc configurations.
Serving has a dictionary for `Feed` and `Fetch` variables for client to assign. In the example, `{"words": data}` is the feed dict that specify the input of saved inference model. `{"prediction": prediction}` is the fetch dic that specify the output of saved inference model. An alias name can be defined for feed and fetch variables. An example of how to use alias name
is as follows:
``` python
frompaddle_serving_clientimportClient
...
...
@@ -35,10 +36,14 @@ for line in sys.stdin:
If you have saved model files using Paddle's `save_inference_model` API, you can use Paddle Serving's` inference_model_to_serving` API to convert it into a model file that can be used for Paddle Serving.
dirname (str) - Path of saved model files. Program file and parameter files are saved in this directory.
model_filename (str, optional) - The name of file to load the inference program. If it is None, the default filename __model__ will be used. Default: None.
paras_filename (str, optional) - The name of file to load all parameters. It is only used for the case that all parameters were saved in a single binary file. If parameters were saved in separate files, set it as None. Default: None.
serving_server (str, optional) - The path of model files and configuration files for server. Default: "serving_server".
serving_client (str, optional) - The path of configuration files for client. Default: "serving_client".
model_filename (str, optional) - The name of file to load the inference program. If it is None, the default filename `__model__` will be used. Default: None.
paras_filename (str, optional) - The name of file to load all parameters. It is only used for the case that all parameters were saved in a single binary file. If parameters were saved in separate files, set it as None. Default: None.
* 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.
If you want to have more detection models, please refer to [Paddle Detection Model Zoo](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.2/docs/MODEL_ZOO_cn.md)
*the port of server side in this example is 9393, the sample data used by client side is in the folder ./data. These parameter can be modified in practice*
