From 129cfcd9f283dea0d64f2e20b77662febc2d802c Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期四, 23 三月 2023 10:01:32 +0800 Subject: [PATCH] cer tool --- funasr/runtime/python/grpc/Readme.md | 56 ++++++++++++++++++++++++++++++++++++++++++++++++++------ 1 files changed, 50 insertions(+), 6 deletions(-) diff --git a/funasr/runtime/python/grpc/Readme.md b/funasr/runtime/python/grpc/Readme.md index dc38b51..2df666d 100644 --- a/funasr/runtime/python/grpc/Readme.md +++ b/funasr/runtime/python/grpc/Readme.md @@ -5,7 +5,9 @@ ## Steps -Step 1) Optional, prepare server environment (on server). Install modelscope and funasr with pip or with cuda-docker image. +Step 1-1) Prepare server modelscope pipeline environment (on server). + + Install modelscope and funasr with pip or with cuda-docker image. Option 1: Install modelscope and funasr with [pip](https://github.com/alibaba-damo-academy/FunASR#installation) @@ -22,23 +24,65 @@ cd FunASR/funasr/runtime/python/grpc/ ``` +Step 1-2) Optional, Prepare server onnxruntime environment (on server). -Step 2) Optional, generate protobuf file (run on server, the two generated pb file are both used for server and client). +Install [`onnx_paraformer`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime). + +- Build the onnx_paraformer `whl` ``` -# paraformer_pb2.py and paraformer_pb2_grpc.py are already generated. +git clone https://github.com/alibaba/FunASR.git && cd FunASR +cd funasr/runtime/python/onnxruntime/rapid_paraformer +python setup.py build +python setup.py install +``` + +[//]: # () +[//]: # (- Install the build `whl`) + +[//]: # (```) + +[//]: # (pip install dist/rapid_paraformer-0.0.1-py3-none-any.whl) + +[//]: # (```) + +Export the model, more details ref to [export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime). +```shell +python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx --quantize True +``` + +Step 2) Optional, generate protobuf file (run on server, the two generated pb files are both used for server and client). +``` +# Optional, Install dependency. +python -m pip install grpcio grpcio-tools +``` + +``` +# 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 ``` Step 3) Start grpc server (on server). ``` -python grpc_main_server.py --port 10095 +# Optional, Install dependency. +python -m pip install grpcio grpcio-tools ``` +``` +# Start server. +python grpc_main_server.py --port 10095 --backend pipeline +``` + +If you want run server with onnxruntime, please set `backend` and `onnx_dir` paramater. +``` +# Start server. +python grpc_main_server.py --port 10095 --backend onnxruntime --onnx_dir /models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +``` + Step 4) Start grpc client (on client with microphone). - ``` # Optional, Install dependency. -python -m pip install pyaudio webrtcvad +python -m pip install pyaudio webrtcvad grpcio grpcio-tools ``` ``` # Start client. -- Gitblit v1.9.1