|
|
@@ -5,18 +5,24 @@ The audio data is in streaming, the asr inference process is in offline.
|
|
|
|
|
|
## 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
|
huangmingming