diff --git a/demos/streaming_tts_serving_fastdeploy/README.md b/demos/streaming_tts_serving_fastdeploy/README.md
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+([简体中文](./README_cn.md)|English)
+
+# Streaming Speech Synthesis Service
+
+## Introduction
+This demo is an implementation of starting the streaming speech synthesis service and accessing the service.
+
+`Server` must be started in the docker, while `Client` does not have to be in the docker.
+
+We assume your model and code (which will be loaded by the `Server`) absolute path in your host is `$PWD` and the model absolute path in docker is `/models`
+
+## Usage
+### 1. Server
+#### 1.1 Docker
+
+`docker pull registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09`
+
+`docker run -dit  --net=host --name fastdeploy --shm-size="1g" -v $PWD:/models registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09`
+
+`docker exec -it -u root fastdeploy bash`
+
+#### 1.2 Installation(inside the docker)
+
+`apt-get install build-essential python3-dev libssl-dev libffi-dev libxml2 libxml2-dev libxslt1-dev zlib1g-dev libsndfile1 language-pack-zh-hans wget zip`
+
+`pip3 install paddlespeech`
+
+`export LC_ALL="zh_CN.UTF-8"`
+
+`export LANG="zh_CN.UTF-8"`
+
+`export LANGUAGE="zh_CN:zh:en_US:en"`
+
+#### 1.3 Download models(inside the docker)
+
+`cd /models/streaming_tts_serving/1`
+
+`wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip`
+
+`wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_onnx_0.2.0.zip`
+
+`unzip fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip`
+
+`unzip mb_melgan_csmsc_onnx_0.2.0.zip`
+
+#### 1.4 Start the server(inside the docker)
+
+`fastdeployserver --model-repository=/models --model-control-mode=explicit --load-model=streaming_tts_serving`
+
+**The default port is 8000(for http),8001(for grpc),8002(for metrics). If you want to change the port, add the command `--http-port 9000 --grpc-port 9001 --metrics-port 9002`**
+
+### 2. Client
+#### 2.1 Installation
+
+`pip3 install tritonclient[all]`
+
+#### 2.2 Send request
+
+`python3 /models/streaming_tts_serving/stream_client.py`
+
diff --git a/demos/streaming_tts_serving_fastdeploy/README_cn.md b/demos/streaming_tts_serving_fastdeploy/README_cn.md
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+(简体中文|[English](./README.md))
+
+# 流式语音合成服务
+
+## 介绍
+本文介绍了使用FastDeploy搭建流式语音合成服务的方法。
+
+`服务端`必须在docker内启动,而`客户端`不是必须在docker容器内.
+
+我们假设你的模型和代码(`服务端`会加载模型和代码以启动服务)在你主机上的绝对路径是`$PWD`,模型和代码在docker内的绝对路径是`/models`
+
+## 使用
+### 1. 服务端
+#### 1.1 Docker
+
+`docker pull registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09`
+
+`docker run -dit  --net=host --name fastdeploy --shm-size="1g" -v $PWD:/models registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09`
+
+`docker exec -it -u root fastdeploy bash`
+
+#### 1.2 安装(在docker内)
+
+`apt-get install build-essential python3-dev libssl-dev libffi-dev libxml2 libxml2-dev libxslt1-dev zlib1g-dev libsndfile1 language-pack-zh-hans wget zip`
+
+`pip3 install paddlespeech`
+
+`export LC_ALL="zh_CN.UTF-8"`
+
+`export LANG="zh_CN.UTF-8"`
+
+`export LANGUAGE="zh_CN:zh:en_US:en"`
+
+#### 1.3 下载模型(在docker内)
+
+`cd /models/streaming_tts_serving/1`
+
+`wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip`
+
+`wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_onnx_0.2.0.zip`
+
+`unzip fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip`
+
+`unzip mb_melgan_csmsc_onnx_0.2.0.zip`
+
+#### 1.4 启动服务端(在docker内)
+
+`fastdeployserver --model-repository=/models --model-control-mode=explicit --load-model=streaming_tts_serving`
+
+**服务启动的默认端口是8000(for http),8001(for grpc),8002(for metrics). 如果想要改变服务的端口号,在上述命令后面添加以下参数即可`--http-port 9000 --grpc-port 9001 --metrics-port 9002`**
+
+### 2. 客户端
+#### 2.1 安装
+
+`pip3 install tritonclient[all]`
+
+#### 2.2 发送请求
+
+`python3 /models/streaming_tts_serving/stream_client.py`
+
diff --git a/demos/streaming_tts_serving_fastdeploy/readme.txt b/demos/streaming_tts_serving_fastdeploy/readme.txt
deleted file mode 100644
index a6fd81fd9..000000000
--- a/demos/streaming_tts_serving_fastdeploy/readme.txt
+++ /dev/null
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-#We assume your host model absolute path = $PWD and your docker model absolute path = /models
-
-#For Server
-
-#Start docker
-docker pull registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09
-docker run -dit  --net=host --name fastdeploy --shm-size="1g" -v $PWD:/models registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09
-docker exec -it -u root fastdeploy bash
-
-#Inside the docker
-apt-get install build-essential python3-dev libssl-dev libffi-dev libxml2 libxml2-dev libxslt1-dev zlib1g-dev libsndfile1 language-pack-zh-hans wget zip
-pip install paddlespeech
-export LC_ALL="zh_CN.UTF-8"
-export LANG="zh_CN.UTF-8"
-export LANGUAGE="zh_CN:zh:en_US:en"
-
-#Download models
-cd /models/streaming_tts_serving/1
-wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip
-wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_onnx_0.2.0.zip
-unzip fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip
-unzip mb_melgan_csmsc_onnx_0.2.0.zip
-
-#Start the server
-fastdeployserver --model-repository=/models --model-control-mode=explicit --load-model=streaming_tts_serving
-
-
-#For Client
-
-#Install
-pip3 install tritonclient[all]
-
-#Request
-python3 /models/streaming_tts_serving/stream_client.py