update readme

Author: camaze

Diff for: README.md

@@ -43,7 +43,7 @@ The project's startup scripts are divided into flask4modelcache.py and flask4mod
 pip install -r requirements.txt 
 ```
 ### Service Startup
-#### Demo Service Startup
+#### Method 1: Demo Service Startup
 1. Download the embedding model bin file from the following address: [https://huggingface.co/shibing624/text2vec-base-chinese/tree/main](https://huggingface.co/shibing624/text2vec-base-chinese/tree/main). Place the downloaded bin file in the model/text2vec-base-chinese folder.
 2. Start the backend service using the flask4modelcache_dome.py script.
 ```shell
@@ -53,7 +53,21 @@ cd CodeFuse-ModelCache
 python flask4modelcache_demo.py
 ```
 
-#### Normal Service Startup
+#### Method 2: Service Startup With Docker-compose
+1. Download the embedding model bin file from the following address: [https://huggingface.co/shibing624/text2vec-base-chinese/tree/main](https://huggingface.co/shibing624/text2vec-base-chinese/tree/main). Place the downloaded bin file in the model/text2vec-base-chinese folder.
+2. Configure docker network, only need to execute once
+```shell
+docker network create modelcache
+```
+3. Execute the docker-compose command
+```shell
+# When the modelcache image does not exist locally for the first time, or when the Dockerfile is changed
+docker-compose up --build
+
+# This is not the first run and the Dockerfile has not changed
+docker-compose up
+```
+#### Method 3: Service Startup Without Docker-compose
 Before starting the service, the following environment configurations should be performed:
 1. Install the relational database MySQL and import the SQL file to create the data tables. The SQL file can be found at: ```reference_doc/create_table.sql```
 2. Install the vector database Milvus.

Diff for: README_CN.md

@@ -44,7 +44,7 @@ Codefuse-ModelCache 是一个开源的大模型语义缓存系统，通过缓存
 pip install -r requirements.txt 
 ```
 ### 服务启动
-#### Demo服务启动
+#### 方式一：Demo服务启动
 - 离线模型bin文件下载， 参考地址：[https://huggingface.co/shibing624/text2vec-base-chinese/tree/main](https://huggingface.co/shibing624/text2vec-base-chinese/tree/main)，并将下载的bin文件，放到 model/text2vec-base-chinese 文件夹中。
 - 执行flask4modelcache_demo.py启动服务。
 ```shell
@@ -54,7 +54,22 @@ cd CodeFuse-ModelCache
 python flask4modelcache_demo.py
 ```
 
-#### 正常服务启动
+#### 方式二：通过 docker-compose 启动服务
+- 离线模型bin文件下载， 参考地址：[https://huggingface.co/shibing624/text2vec-base-chinese/tree/main](https://huggingface.co/shibing624/text2vec-base-chinese/tree/main)，并将下载的bin文件，放到 model/text2vec-base-chinese 文件夹中。
+
+- 配置 docker network，只需执行一次
+```shell
+docker network create modelcache
+```
+- 执行 docker-compose 命令
+```shell
+# 首次运行本地不存在 modelcache 镜像、或 Dockerfile 变更时
+docker-compose up --build
+
+# 非首次运行，且 Dockerfile 无变更
+docker-compose up
+```
+#### 方式三：不通过 docker-compose 启动服务
 在启动服务前，应该进行如下环境配置：
 1. 安装关系数据库 mysql， 导入sql创建数据表，sql文件:```reference_doc/create_table.sql```
 2. 安装向量数据库milvus