From e0fa63765bfb4a36bde7047c2a6066ca5a80e90f Mon Sep 17 00:00:00 2001
From: Yabin Li <wucong.lyb@alibaba-inc.com>
Date: 星期一, 21 八月 2023 10:37:42 +0800
Subject: [PATCH] Dev hw (#878)

---
 funasr/runtime/docs/SDK_tutorial.md |   38 +++++++-------------------------------
 1 files changed, 7 insertions(+), 31 deletions(-)

diff --git a/funasr/runtime/docs/SDK_tutorial.md b/funasr/runtime/docs/SDK_tutorial.md
index 0624af3..457f506 100644
--- a/funasr/runtime/docs/SDK_tutorial.md
+++ b/funasr/runtime/docs/SDK_tutorial.md
@@ -1,6 +1,6 @@
 ([绠�浣撲腑鏂嘳(./SDK_tutorial_zh.md)|English)
 
-# FunASR Offline File Transcription Service Convenient Deployment Tutorial
+# FunASR Offline File Transcription Service
 
 FunASR provides an offline file transcription service that can be easily deployed on a local or cloud server. The core is the FunASR open-source runtime-SDK. It integrates various capabilities such as speech endpoint detection (VAD) and Paraformer-large speech recognition (ASR) and punctuation restoration (PUNC) released by the speech laboratory of the Damo Academy in the Modelscope community. It has a complete speech recognition chain and can recognize audio or video of tens of hours into punctuated text. Moreover, it supports transcription for hundreds of simultaneous requests.
 
@@ -33,6 +33,7 @@
 ```shell
 sudo bash funasr-runtime-deploy-offline-cpu-zh.sh install --workspace /root/funasr-runtime-resources
 ```
+Note: If you need to deploy the timestamp model or hotword model, select the corresponding model in step 2 of the installation and deployment process, where 1 is the paraformer-large model, 2 is the paraformer-large timestamp model, and 3 is the paraformer-large hotword model.
 
 ### Client Testing and Usage
 
@@ -69,6 +70,7 @@
 --audio_in is the audio file that needs to be transcribed, supporting file paths and file list wav.scp
 --thread_num sets the number of concurrent sending threads, default is 1
 --ssl sets whether to enable SSL certificate verification, default is 1 to enable, and 0 to disable
+--hotword If am is hotword model, setting hotword: *.txt(one hotword perline) or hotwords seperate by space (could be: 闃块噷宸村反 杈炬懇闄�)
 ```
 
 ### cpp-client
@@ -85,6 +87,7 @@
 --wav-path specifies the audio file to be transcribed, and supports file paths.
 --thread_num sets the number of concurrent send threads, with a default value of 1.
 --ssl sets whether to enable SSL certificate verification, with a default value of 1 for enabling and 0 for disabling.
+--hotword If am is hotword model, setting hotword: *.txt(one hotword perline) or hotwords seperate by space (could be: 闃块噷宸村反 杈炬懇闄�)
 ```
 
 ### html-client
@@ -155,42 +158,15 @@
 sudo bash funasr-runtime-deploy-offline-cpu-zh.sh update --workspace /root/funasr-runtime-resources
 ```
 
-
-## Detailed Configuration of Server Startup Process
-
-### Select FunASR Docker image
-We recommend choosing to use our latest released image, but you can also choose historical versions.
-
-```text
-[1/5]
-  Getting the list of docker images, please wait a few seconds.
-    [DONE]
-
-  Please choose the Docker image.
-    1) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0
-  Enter your choice, default(1):
-  You have chosen the Docker image: registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0
-```
-
-
-### Set the port provided by the host for FunASR
-Set the host port provided to Docker, which is 10095 by default. Please make sure that this port is available.
-
-```text
-[2/5]
-  Please input the opened port in the host used for FunASR server.
-  Setting the opened host port [1-65535], default(10095):
-  The port of the host is 10095
-  The port in Docker for FunASR server is 10095
-```
-
 ### Set SSL
 
 SSL verification is enabled by default. If you need to disable it, you can set it when starting.
 ```shell
-sudo bash funasr-runtime-deploy-offline-cpu-zh.sh --ssl 0
+sudo bash funasr-runtime-deploy-online-cpu-zh.sh update --ssl 0
 ```
 
+
+
 ## Contact Us
 
 If you encounter any problems during use, please join our user group for feedback.

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