From 23ec48ebeb8d90fa4ee836f8dbbdfc3cf32e9f3b Mon Sep 17 00:00:00 2001
From: huangmingming <dyyzhmm@163.com>
Date: 星期二, 31 一月 2023 14:03:53 +0800
Subject: [PATCH] update server env

---
 funasr/runtime/python/grpc/Readme.md |   52 +++++++++++++++++++++++++++++++++++++++++++++++-----
 1 files changed, 47 insertions(+), 5 deletions(-)

diff --git a/funasr/runtime/python/grpc/Readme.md b/funasr/runtime/python/grpc/Readme.md
index 5da42a6..dc38b51 100644
--- a/funasr/runtime/python/grpc/Readme.md
+++ b/funasr/runtime/python/grpc/Readme.md
@@ -1,16 +1,58 @@
-## 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 1) Optional, prepare server environment (on server).  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)
+
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 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
+```
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 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 2) Optional, generate protobuf file (run on server, the two generated pb file are both used for server and client).
+```
+# paraformer_pb2.py and paraformer_pb2_grpc.py are already generated.
 python -m grpc_tools.protoc  --proto_path=./proto -I ./proto    --python_out=. --grpc_python_out=./ ./proto/paraformer.proto
 ```
 
-Step 2) start grpc server
+Step 3) Start grpc server (on server).
+```
+python grpc_main_server.py --port 10095
+```
+
+Step 4) Start grpc client (on client with microphone).
+
+```
+# Optional, Install dependency.
+python -m pip install pyaudio webrtcvad
+```
+```
+# Start client.
+python grpc_main_client_mic.py --host 127.0.0.1 --port 10095
+```
 
 
-Step 3) start grpc client
\ No newline at end of file
+## Workflow in desgin
+![avatar](proto/workflow.png)
+
+
+## Reference
+We borrow from or refer to some code as:
+
+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
\ No newline at end of file

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