| | |
| | | |
| | | ## Steps |
| | | |
| | | Step 1) Generate protobuf file for grpc. |
| | | Step 1) Prepare server environment. |
| | | ``` |
| | | #Modelscope cuda docker is preferred. |
| | | 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 |
| | | ``` |
| | | |
| | | Step 2) Generate protobuf file for server and client. |
| | | ``` |
| | | #(Optional, paraformer_pb2.py and paraformer_pb2_grpc.py are already generated.) |
| | | python -m grpc_tools.protoc --proto_path=./proto -I ./proto --python_out=. --grpc_python_out=./ ./proto/paraformer.proto |
| | | ``` |
| | | |
| | | Step 2) Start grpc server (on server). |
| | | Step 3) Start grpc server (on server). |
| | | ``` |
| | | python grpc_main_server.py --port 10095 |
| | | ``` |
| | | |
| | | Step 3) Start grpc client (on client with microphone). |
| | | Step 4) Start grpc client (on client with microphone). |
| | | ``` |
| | | #Install dependency. |
| | | python -m pip install pyaudio webrtcvad |