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update readme, add prepare for sever env
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@ -5,13 +5,14 @@ The audio data is in streaming, the asr inference process is in offline.
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## Steps
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Step 1) Prepare server environment.
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Step 1) Prepare server environment (on server).
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```
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#Optional, modelscope cuda docker is preferred.
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docker run --network host -d -it --gpus '"device=0"' -v /data:/data registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.2.0
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cd /opt/conda/lib/python3.7/site-packages/funasr/runtime/python/grpc
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```
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Step 2) Generate protobuf file for server and client.
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Step 2) Generate protobuf file (for server and client).
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```
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#Optional, paraformer_pb2.py and paraformer_pb2_grpc.py are already generated.
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python -m grpc_tools.protoc --proto_path=./proto -I ./proto --python_out=. --grpc_python_out=./ ./proto/paraformer.proto
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