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| | | ## Steps |
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| | | Step 1) Prepare server environment (on server). |
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| | | Optional, install modelscope and funasr with pip or with cuda-docker image. |
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| | | Step 1) Optional, prepare server environment (on server). Install modelscope and funasr with pip or with cuda-docker image. |
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| | | Option 1: Install modelscope and funasr with [pip](https://github.com/alibaba-damo-academy/FunASR#installation) |
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| | | ``` |
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| | | Step 2) Generate protobuf file (for server and client). |
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| | | Step 2) Optional, generate protobuf file (run on server, the two generated pb file are both used 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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| | | # 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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| | | ``` |
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