update readme, for format

funasr/runtime/python/grpc/Readme.md

@@ -7,7 +7,7 @@ The audio data is in streaming, the asr inference process is in offline.
 
 Step 1) Prepare server environment (on server).
 ```
-#Optional, modelscope cuda docker is preferred.
+# Optional, modelscope cuda docker is preferred.
 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
@@ -16,7 +16,7 @@ cd /opt/conda/lib/python3.7/site-packages/funasr/runtime/python/grpc
 
 Step 2) Generate protobuf file (for server and client).
 ```
-#Optional, paraformer_pb2.py and paraformer_pb2_grpc.py are already generated.
+# Optional, 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
 ```
 
@@ -27,11 +27,11 @@ python grpc_main_server.py --port 10095
 
 Step 4) Start grpc client (on client with microphone).
 ```
-#Install dependency.
+# Install dependency.
 python -m pip install pyaudio webrtcvad
 ```
 ```
-#Start client.
+# Start client.
 python grpc_main_client_mic.py --host 127.0.0.1 --port 10095
 ```