python/FunASR-XL.git

			@@ -1,8 +1,6 @@
			# Using paraformer with grpc
			# Service with grpc-python
			We can send streaming audio data to server in real-time with grpc client every 10 ms e.g., and get transcribed text when stop speaking.
			The audio data is in streaming, the asr inference process is in offline.



			## For the Server

			@@ -11,9 +9,10 @@
			Install the modelscope and funasr

			```shell
			pip install "modelscope[audio_asr]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
			pip install -U modelscope funasr
			# For the users in China, you could install with the command:
			# pip install -U modelscope funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
			git clone https://github.com/alibaba/FunASR.git && cd FunASR
			pip install --editable ./
			```

			Install the requirements
			@@ -28,9 +27,7 @@
			Install [`funasr_onnx`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime).

			```
			cd funasr/runtime/python/onnxruntime
			python setup.py build
			python setup.py install
			pip install funasr_onnx -i https://pypi.Python.org/simple
			```

			Export the model, more details ref to [export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime).
			@@ -65,6 +62,7 @@
			### Install the requirements

			```shell
			git clone https://github.com/alibaba/FunASR.git && cd FunASR
			cd funasr/runtime/python/grpc
			pip install -r requirements_client.txt
			```
			@@ -86,8 +84,8 @@


			## Workflow in desgin
			![avatar](proto/workflow.png)

			<div align="left"><img src="proto/workflow.png" width="400"/>

			## Reference
			We borrow from or refer to some code as: