## paraformer grpc onnx server in c++

#### Step 1. Build ../onnxruntime as it's document
```
#put onnx-lib & onnx-asr-model into /path/to/asrmodel(eg: /data/asrmodel)
ls /data/asrmodel/
onnxruntime-linux-x64-1.14.0  speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch

#make sure you have config.yaml, am.mvn, model.onnx(or model_quant.onnx) under speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch

```

#### Step 2. Compile and install grpc v1.52.0 in case of grpc bugs
```
export GRPC_INSTALL_DIR=/data/soft/grpc
export PKG_CONFIG_PATH=$GRPC_INSTALL_DIR/lib/pkgconfig

git clone -b v1.52.0 --depth=1  https://github.com/grpc/grpc.git
cd grpc
git submodule update --init --recursive

mkdir -p cmake/build
pushd cmake/build
cmake -DgRPC_INSTALL=ON \
      -DgRPC_BUILD_TESTS=OFF \
      -DCMAKE_INSTALL_PREFIX=$GRPC_INSTALL_DIR \
      ../..
make
make install
popd

echo "export GRPC_INSTALL_DIR=/data/soft/grpc" >> ~/.bashrc
echo "export PKG_CONFIG_PATH=\$GRPC_INSTALL_DIR/lib/pkgconfig" >> ~/.bashrc
echo "export PATH=\$GRPC_INSTALL_DIR/bin/:\$PKG_CONFIG_PATH:\$PATH" >> ~/.bashrc
source ~/.bashrc
```

#### Step 3. Compile and start grpc onnx paraformer server
```
# set -DONNXRUNTIME_DIR=/path/to/asrmodel/onnxruntime-linux-x64-1.14.0
./rebuild.sh
```

#### Step 4. Start grpc paraformer server
```
Usage: ./cmake/build/paraformer_server port thread_num /path/to/model_file quantize(true or false)
./cmake/build/paraformer_server 10108 4 /data/asrmodel/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch false
```

#### Step 5. Start grpc python paraformer client  on PC with MIC
```
cd ../python/grpc
python grpc_main_client_mic.py  --host $server_ip --port 10108
```

## Acknowledge
1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
2. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service.