update the streaming asr and punc server to cpu device, test=doc

demos/streaming_asr_server/README.md

@@ -29,7 +29,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 
 ### 3. Server Usage
 - Command Line (Recommended)
-
+  **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file.
   ```bash
   # in PaddleSpeech/demos/streaming_asr_server start the service
    paddlespeech_server start --config_file ./conf/ws_conformer_application.yaml
@@ -110,6 +110,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```
 
 - Python API
+  **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file.
   ```python
   # in PaddleSpeech/demos/streaming_asr_server directory
   from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
@@ -363,6 +364,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 ### 1. Server usage
  
 - Command Line
+  **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file.
   ``` bash
   In PaddleSpeech/demos/streaming_asr_server directory to lanuch punctuation service
   paddlespeech_server start --config_file conf/punc_application.yaml
@@ -401,7 +403,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```
 
 - Python API
-
+  **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file.
   ```python
   # 在 PaddleSpeech/demos/streaming_asr_server 目录
   from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
@@ -467,6 +469,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 
 
 ## Join streaming asr and punctuation server
+
+By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively.
+
 We use `streaming_ asr_server.py` and `punc_server.py` two services to lanuch streaming speech recognition and punctuation prediction services respectively. And the `websocket_client.py` script can be used to call streaming speech recognition and punctuation prediction services at the same time.
 
 ### 1. Start two server

demos/streaming_asr_server/README_cn.md

@@ -36,7 +36,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 
 ### 3. 服务端使用方法
 - 命令行 (推荐使用)
-
+  **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
   ```bash
   # 在 PaddleSpeech/demos/streaming_asr_server 目录启动服务
   paddlespeech_server start --config_file ./conf/ws_conformer_application.yaml
@@ -117,6 +117,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```
 
 - Python API
+  **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
   ```python
   # 在 PaddleSpeech/demos/streaming_asr_server 目录
   from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
@@ -371,6 +372,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 ### 1. 服务端使用方法
 
 - 命令行
+  **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
   ``` bash
   在 PaddleSpeech/demos/streaming_asr_server 目录下启动标点预测服务
   paddlespeech_server start --config_file conf/punc_application.yaml
@@ -410,7 +412,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```
 
 - Python API
-
+  **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
   ```python
   # 在 PaddleSpeech/demos/streaming_asr_server 目录
   from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
@@ -476,6 +478,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 
 
 ## 联合流式语音识别和标点预测
+**注意:** By default, each server is deployed on the 'CPU' device. Voice recognition and punctuation prediction can be deployed on different 'GPUs' by modifying the' device 'parameter in the service configuration file.
+
 使用 `streaming_asr_server.py` 和 `punc_server.py` 两个服务，分别启动流式语音识别和标点预测服务。调用 `websocket_client.py` 脚本可以同时调用流式语音识别和标点预测服务。
 
 ### 1. 启动服务

demos/streaming_asr_server/conf/punc_application.yaml

@@ -28,7 +28,7 @@ text_python:
     cfg_path: # [optional]
     ckpt_path: # [optional]
     vocab_file: # [optional]
-    device: gpu:0 # set 'gpu:id' or 'cpu'
+    device: 'cpu' # set 'gpu:id' or 'cpu'
 
 
 

demos/streaming_asr_server/conf/ws_conformer_application.yaml

@@ -29,7 +29,7 @@ asr_online:
     cfg_path: 
     decode_method: 
     force_yes: True
-    device: gpu:3 # cpu or gpu:id
+    device: 'cpu' # cpu or gpu:id
     am_predictor_conf:
         device:  # set 'gpu:id' or 'cpu'
         switch_ir_optim: True