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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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| | | |
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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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