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 |   51 +++++++++++++++++++++++++++++++++++++++++++++------
 1 files changed, 45 insertions(+), 6 deletions(-)

diff --git a/funasr/runtime/python/grpc/Readme.md b/funasr/runtime/python/grpc/Readme.md
index dc38b51..e020007 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).  
+
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Install modelscope and funasr with pip or with cuda-docker image.
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Option 1: Install modelscope and funasr with [pip](https://github.com/alibaba-damo-academy/FunASR#installation)
 
@@ -22,23 +24,60 @@
 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 [`rapid_paraformer`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime).
+
+- Build the rapid_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 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).
-
 ```
 # Optional, Install dependency.
-python -m pip install pyaudio webrtcvad
+python -m pip install pyaudio webrtcvad grpcio grpcio-tools
 ```
 ```
 # Start client.

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