From beb3d3fcbca7071d31af3c69b761a5a2fa7da950 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 21 二月 2023 19:43:56 +0800
Subject: [PATCH] Merge pull request #145 from alibaba-damo-academy/dev_lzr

---
 funasr/runtime/python/grpc/Readme.md |   31 +++++++++++++++++++++++++++++--
 1 files changed, 29 insertions(+), 2 deletions(-)

diff --git a/funasr/runtime/python/grpc/Readme.md b/funasr/runtime/python/grpc/Readme.md
index 053b3d0..e020007 100644
--- a/funasr/runtime/python/grpc/Readme.md
+++ b/funasr/runtime/python/grpc/Readme.md
@@ -5,7 +5,7 @@
 
 ## Steps
 
-Step 1) Prepare server environment (on server).  
+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.
 
@@ -24,6 +24,26 @@
 cd FunASR/funasr/runtime/python/grpc/
 ```
 
+Step 1-2) Optional, Prepare server onnxruntime environment (on server). 
+
+Install [`rapid_paraformer`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime).
+
+- Build the rapid_paraformer `whl`
+```
+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).
 ```
@@ -44,9 +64,16 @@
 ```
 ```
 # Start server.
-python grpc_main_server.py --port 10095
+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.

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