mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
2.0 KiB
2.0 KiB
Service with grpc-python
We can send streaming audio data to server in real-time with grpc client every 10 ms e.g., and get transcribed text when stop speaking. The audio data is in streaming, the asr inference process is in offline.
For the Server
Prepare server environment
Install the modelscope and funasr
pip install -U modelscope funasr
# For the users in China, you could install with the command:
# pip install -U modelscope funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
git clone https://github.com/alibaba/FunASR.git && cd FunASR
Install the requirements
cd funasr/runtime/python/grpc
pip install -r requirements_server.txt
Generate protobuf file
Run on server, the two generated pb files are both used for server and client
# paraformer_pb2.py and paraformer_pb2_grpc.py are already generated,
# regenerate it only when you make changes to ./proto/paraformer.proto file.
python -m grpc_tools.protoc --proto_path=./proto -I ./proto --python_out=. --grpc_python_out=./ ./proto/paraformer.proto
Start grpc server
# Start server.
python grpc_main_server.py --port 10095 --backend pipeline
For the client
Install the requirements
git clone https://github.com/alibaba/FunASR.git && cd FunASR
cd funasr/runtime/python/grpc
pip install -r requirements_client.txt
Generate protobuf file
Run on server, the two generated pb files are both used for server and client
# paraformer_pb2.py and paraformer_pb2_grpc.py are already generated,
# regenerate it only when you make changes to ./proto/paraformer.proto file.
python -m grpc_tools.protoc --proto_path=./proto -I ./proto --python_out=. --grpc_python_out=./ ./proto/paraformer.proto
Start grpc client
# Start client.
python grpc_main_client_mic.py --host 127.0.0.1 --port 10095
