From fc08b62d05723cdc1ce021bb8ba044ca014fb1f7 Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期一, 13 三月 2023 18:38:41 +0800 Subject: [PATCH] readme --- funasr/runtime/python/grpc/Readme.md | 69 +++++++++++++++++++++++++++++----- 1 files changed, 59 insertions(+), 10 deletions(-) diff --git a/funasr/runtime/python/grpc/Readme.md b/funasr/runtime/python/grpc/Readme.md index 46e3f17..e020007 100644 --- a/funasr/runtime/python/grpc/Readme.md +++ b/funasr/runtime/python/grpc/Readme.md @@ -5,30 +5,79 @@ ## Steps -Step 1) Prepare server environment (on server). -``` -# Install modelscope and funasr, or install with modelscope cuda-docker image. +Step 1-1) Prepare server modelscope pipeline environment (on server). -# Get into grpc directory. -cd /opt/conda/lib/python3.7/site-packages/funasr/runtime/python/grpc + 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) + + Option 2: or install with cuda-docker image as: + +``` +CID=`docker run --network host -d -it --gpus '"device=0"' registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.2.0` +echo $CID +docker exec -it $CID /bin/bash +``` + Get funasr source code and get into grpc directory. +``` +git clone https://github.com/alibaba-damo-academy/FunASR +cd FunASR/funasr/runtime/python/grpc/ ``` +Step 1-2) Optional, Prepare server onnxruntime environment (on server). -Step 2) Generate protobuf file (for server and client). +Install [`rapid_paraformer`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime). + +- Build the rapid_paraformer `whl` ``` -# Optional, 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 bdist_wheel +``` + +- 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). +``` +python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" 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). ``` -# Install dependency. Optional. -python -m pip install pyaudio webrtcvad +# Optional, Install dependency. +python -m pip install pyaudio webrtcvad grpcio grpcio-tools ``` ``` # Start client. -- Gitblit v1.9.1