diff --git a/README.md b/README.md
index e9a1d09..79feb2d 100644
--- a/README.md
+++ b/README.md
@@ -1,93 +1,102 @@
-# 🐰amqp-worker
-
-amqp-worker 是一个基于 Python 的多线程 RabbitMQ 消费框架。它可以让你在消费消息时更加高效和稳定。
-
-## 功能特点
-
-- 批量消费：按批处理消息，提高消费效率。
-- 自动重连：当 RabbitMQ 服务断开连接时，amqp-worker 会自动重连，保证消费不中断。
-- 自定义消费模式：消费函数中自由决定使用多线程和协程。
-- 可配置的消息确认方式：支持自动确认和手动确认两种确认方式，根据你的消费需求进行配置。
-- 可配置的异常处理：支持全局配置消息异常的消费模式，重入队列、重新插入、消费消息。
-
-## 安装方式
-
-你可以使用 pip 工具来安装 amqp-worker:
-
-```
-pip install amqp-worker
-```
-
-## 使用方法
-
-首先，你需要在你的 Python 代码中引入 amqp_worker 模块：
-
-```python
-from amqpworker.app import App
-```
-
-然后，你需要实例化一个 App 对象，而App对象依赖AMQPConnection对象：
-
-```python
-from amqpworker.connections import AMQPConnection
-amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
-
-app = App(connections=[amqp_conn])
-```
-
-
-
-接下来，你需要定义消费函数:
-
-```python
-@app.amqp.consume(
-    ['test'],
-    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
-)
-def _handler(msgs: List[RabbitMQMessage]):
-    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
-```
-
-
-上面的代码中我们给消费函数一个装饰器，给出了消费的队列，每批消费的数量，值得注意的是，消费函数的参数类型为`List[RabbitMQMessage]`
-
-最后，只需要调用 `run` 方法即可开始消费：
-
-```python
-app.run()
-```
-
-## 示例代码
-
-下面是一个简单的示例代码，它会消费名为 `test` 的队列中的消息：
-
-```python
-from datetime import datetime
-from typing import List
-
-from amqpworker.app import App
-from amqpworker.connections import AMQPConnection
-from amqpworker.rabbitmq import RabbitMQMessage
-from amqpworker.routes import AMQPRouteOptions
-
-amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
-app = App(connections=[amqp_conn])
-
-@app.amqp.consume(
-    ['test'],
-    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
-)
-def _handler(msgs: List[RabbitMQMessage]):
-    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
-
-app.run()
-
-```
-
-## 贡献者
-
-- [@JimZhang](https://git.loom.run/zzl221000)
-
-## 许可证
-
-amqp-worker 使用 MIT 许可证。详情请参阅 LICENSE 文件。
\ No newline at end of file
+# 🐰amqp-worker
+
+English | [简体中文](https://git.loom.run/Coder/amqp-worker/src/branch/master/README_zh.md)
+
+
+amqp-worker is a Python-based multi-threaded RabbitMQ consumer framework. It allows you to consume messages more efficiently and stably.
+
+## Features
+
+- Batch consumption: process messages in batches, improve consumption efficiency.
+- Automatic reconnection: when RabbitMQ service disconnects, amqp-worker will automatically reconnect, ensuring uninterrupted consumption.
+- Customizable consumption mode: freely decide to use multi-threading and coroutines in the consumption function.
+- Configurable message acknowledgment mode: support automatic acknowledgment and manual acknowledgment modes, configure according to your consumption needs.
+- Configurable exception handling: support global configuration of message exception consumption mode, re-enter queue, re-insert, consume message.
+
+## Installation
+
+You can use pip tool to install amqp-worker:
+
+```
+pip install amqp-workers
+```
+
+## Usage
+
+First, you need to import the amqp_worker module in your Python code:
+
+```python
+from amqpworker.app import App
+```
+
+Then, you need to instantiate an App object, and the App object depends on the AMQPConnection object:
+
+```python
+from amqpworker.connections import AMQPConnection
+amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
+
+app = App(connections=[amqp_conn])
+```
+
+
+
+Next, you need to define the consumption function:
+
+```python
+@app.amqp.consume(
+    ['test'],
+    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
+)
+def _handler(msgs: List[RabbitMQMessage]):
+    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
+```
+
+
+In the above code we give the consumption function a decorator, giving the consumption queue, the number of consumption per batch, it is worth noting that the parameter type of the consumption function is `List[RabbitMQMessage]`
+
+Finally, just call the `run` method to start consuming:
+
+```python
+app.run()
+```
+
+## Example code
+
+Below is a simple example code that will consume messages from a queue named `test`:
+
+```python
+from datetime import datetime
+from typing import List
+
+from amqpworker.app import App
+from amqpworker.connections import AMQPConnection
+from amqpworker.rabbitmq import RabbitMQMessage
+from amqpworker.routes import AMQPRouteOptions
+
+amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
+app = App(connections=[amqp_conn])
+
+@app.amqp.consume(
+    ['test'],
+    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
+)
+def _handler(msgs: List[RabbitMQMessage]):
+    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
+
+app.run()
+
+```
+
+## Contributors
+
+- [@JimZhang](https://git.loom.run/zzl221000)
+
+## License
+
+amqp-worker uses MIT license. Please refer to LICENSE file for details.
+
+Source: Conversation with Bing, 2023/5/11
+(1) readme.so. https://readme.so/.
+(2) dephraiim/translate-readme - Github. https://github.com/dephraiim/translate-readme.
+(3) Translations for ReadMe. https://www.translate.com/integrations/readme.
+(4) Translate Markdown(Readme.md) to Any Language.. https://dev.to/dephraiim/translate-readme-to-any-language-2jia.
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diff --git a/README_zh.md b/README_zh.md
new file mode 100644
index 0000000..72713d5
--- /dev/null
+++ b/README_zh.md
@@ -0,0 +1,94 @@
+# 🐰amqp-worker
+[English]() | 简体中文
+
+amqp-worker 是一个基于 Python 的多线程 RabbitMQ 消费框架。它可以让你在消费消息时更加高效和稳定。
+
+## 功能特点
+
+- 批量消费：按批处理消息，提高消费效率。
+- 自动重连：当 RabbitMQ 服务断开连接时，amqp-worker 会自动重连，保证消费不中断。
+- 自定义消费模式：消费函数中自由决定使用多线程和协程。
+- 可配置的消息确认方式：支持自动确认和手动确认两种确认方式，根据你的消费需求进行配置。
+- 可配置的异常处理：支持全局配置消息异常的消费模式，重入队列、重新插入、消费消息。
+
+## 安装方式
+
+你可以使用 pip 工具来安装 amqp-worker:
+
+```
+pip install amqp-workers
+```
+
+## 使用方法
+
+首先，你需要在你的 Python 代码中引入 amqp_worker 模块：
+
+```python
+from amqpworker.app import App
+```
+
+然后，你需要实例化一个 App 对象，而App对象依赖AMQPConnection对象：
+
+```python
+from amqpworker.connections import AMQPConnection
+amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
+
+app = App(connections=[amqp_conn])
+```
+
+
+
+接下来，你需要定义消费函数:
+
+```python
+@app.amqp.consume(
+    ['test'],
+    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
+)
+def _handler(msgs: List[RabbitMQMessage]):
+    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
+```
+
+
+上面的代码中我们给消费函数一个装饰器，给出了消费的队列，每批消费的数量，值得注意的是，消费函数的参数类型为`List[RabbitMQMessage]`
+
+最后，只需要调用 `run` 方法即可开始消费：
+
+```python
+app.run()
+```
+
+## 示例代码
+
+下面是一个简单的示例代码，它会消费名为 `test` 的队列中的消息：
+
+```python
+from datetime import datetime
+from typing import List
+
+from amqpworker.app import App
+from amqpworker.connections import AMQPConnection
+from amqpworker.rabbitmq import RabbitMQMessage
+from amqpworker.routes import AMQPRouteOptions
+
+amqp_conn = AMQPConnection(hostname='127.0.0.1', username='guest', password='guest', port=5672)
+app = App(connections=[amqp_conn])
+
+@app.amqp.consume(
+    ['test'],
+    options=AMQPRouteOptions(bulk_size=1024 * 8, bulk_flush_interval=2)
+)
+def _handler(msgs: List[RabbitMQMessage]):
+    print(f"Recv {len(msgs)} {datetime.now().isoformat()}")
+
+app.run()
+
+```
+
+## 贡献者
+
+- [@JimZhang](https://git.loom.run/zzl221000)
+
+## 许可证
+
+amqp-worker 使用 MIT 许可证。详情请参阅 LICENSE 文件。
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