python/FunASR-XL.git

			@@ -26,39 +26,101 @@
			python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
			```

			For more examples, please refer to [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/websocket_python.html#id2).
			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（[Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online.md)）：

			```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（[Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)）：

			```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')