| | |
| | | ## using paraformer with grpc |
| | | |
| | | # Using paraformer with grpc |
| | | 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. |
| | | |
| | | |
| | | ## Steps |
| | | |
| | | Step 1) Generate protobuf file for grpc |
| | | ``` |
| | |
| | | ``` |
| | | |
| | | Step 2) start grpc server |
| | | ``` |
| | | python grpc_main_server.py --port 10095 |
| | | ``` |
| | | |
| | | Step 3) start grpc client |
| | | ``` |
| | | python grpc_main_client_mic.py --host 127.0.0.1 --port 10095 |
| | | ``` |
| | | |
| | | |
| | | Step 3) start grpc client |
| | | ## Workflow in desgin |
| | |  |
| | | |
| | | |
| | | ## Reference |
| | | We borrow or refer to some code from: |
| | | |
| | | 1)https://github.com/wenet-e2e/wenet/tree/main/runtime/core/grpc |
| | | |
| | | 2)https://github.com/Open-Speech-EkStep/inference_service/blob/main/realtime_inference_service.py |