From eeb43ced05a5fe5822b71cb89bb50d344c69eeec Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 09 十一月 2023 19:37:41 +0800
Subject: [PATCH] docs

---
 funasr/quick_start.md |   94 +++++++++++++++++++++++++++++++++++++++--------
 1 files changed, 78 insertions(+), 16 deletions(-)

diff --git a/funasr/quick_start.md b/funasr/quick_start.md
index 6108f02..0b316c0 100644
--- a/funasr/quick_start.md
+++ b/funasr/quick_start.md
@@ -28,37 +28,99 @@
 
 For more examples, please refer to [docs](../runtime/python/websocket/README.md).
 
-### C++ version Example
+### Service Deployment Software
 
-Currently, offline file transcription service (CPU) is supported, and concurrent requests of hundreds of channels are supported.
+Both high-precision, high-efficiency, and high-concurrency file transcription, as well as low-latency real-time speech recognition, are supported. It also supports Docker deployment and multiple concurrent requests.
 
-##### The real-time transcription service, Mandarin (CPU)
-###### Server Deployment
-You can use the following command to complete the deployment:
+##### Docker Installation (optional)
+###### If you have already installed Docker, skip this step.
+
 ```shell
-curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-online-cpu-zh.sh
-sudo bash funasr-runtime-deploy-online-cpu-zh.sh install --workspace ./funasr-runtime-resources
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
+sudo bash install_docker.sh
 ```
 
+##### Real-time Speech Recognition Service Deployment
+
+###### Docker Image Download and Launch
+Use the following command to pull and launch the FunASR software package Docker image锛圼Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online.md)锛夛細
+
+```shell
+sudo docker pull \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
+mkdir -p ./funasr-runtime-resources/models
+sudo docker run -p 10096:10095 -it --privileged=true \
+  -v $PWD/funasr-runtime-resources/models:/workspace/models \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
+```
+
+###### Server Start
+
+After Docker is started, start the funasr-wss-server-2pass service program:
+
+```shell
+cd FunASR/runtime
+nohup bash run_server_2pass.sh \
+  --download-model-dir /workspace/models \
+  --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
+  --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx  \
+  --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx  \
+  --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \
+  --itn-dir thuduj12/fst_itn_zh \
+  --hotword /workspace/models/hotwords.txt > log.out 2>&1 &
+
+# If you want to disable SSL, add the parameter: --certfile 0
+# If you want to deploy with a timestamp or nn hotword model, please set --model-dir to the corresponding model:
+#   damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
+#   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
+# If you want to load hotwords on the server side, please configure the hotwords in the host file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
+#   One hotword per line, format (hotword weight): Alibaba 20
+```
 
 ###### Client Testing
 Testing [samples](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_samples.tar.gz)
 
 ```shell
-python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass
+python3 funasr_wss_client.py --host "127.0.0.1" --port 10096 --mode 2pass
 ```
-For more examples, please refer to [docs](../runtime/docs/SDK_tutorial_online_zh.md)
+For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online.md)
 
 
 #### File Transcription Service, Mandarin (CPU)
 
-##### Server Deployment
-
-You can use the following command to complete the deployment:
+###### Docker Image Download and Launch
+Use the following command to pull and launch the FunASR software package Docker image锛圼Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)锛夛細
 
 ```shell
-curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-zh.sh
-sudo bash funasr-runtime-deploy-offline-cpu-zh.sh install --workspace ./funasr-runtime-resources
+sudo docker pull \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
+mkdir -p ./funasr-runtime-resources/models
+sudo docker run -p 10095:10095 -it --privileged=true \
+  -v $PWD/funasr-runtime-resources/models:/workspace/models \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
+```
+
+###### Server Start
+
+After Docker is started, start the funasr-wss-server service program:
+
+```shell
+cd FunASR/runtime
+nohup bash run_server.sh \
+  --download-model-dir /workspace/models \
+  --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
+  --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx  \
+  --punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
+  --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
+  --itn-dir thuduj12/fst_itn_zh \
+  --hotword /workspace/models/hotwords.txt > log.out 2>&1 &
+
+# If you want to disable SSL, add the parameter: --certfile 0
+# If you want to use timestamp or nn hotword models for deployment, please set --model-dir to the corresponding model:
+#   damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
+#   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
+# If you want to load hotwords on the server side, please configure the hotwords in the host machine file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
+#   One hotword per line, format (hotword weight): Alibaba 20
 ```
 
 ##### Client Testing
@@ -68,7 +130,7 @@
 python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
 ```
 
-For more examples, please refer to [docs](../runtime/docs/SDK_tutorial_zh.md)
+For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)
 
 
 ## Industrial Model Egs
@@ -81,7 +143,7 @@
 
 inference_pipeline = pipeline(
     task=Tasks.auto_speech_recognition,
-    model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+    model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
 )
 
 rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')

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