doc: update cli animation (#61)

* doc: update cli animation

* doc: adjust note format

Author: yanbasic

README.md

@@ -18,7 +18,7 @@
 
 Easy Model Deployer is a lightweight tool designed to simplify the deployment of **Open-Source LLMs** ([Supported Models](docs/en/supported_models.md)) and Custom Models. It provides **OpenAI's Completions API** and [**LangChain Interface**](https://github.com/langchain-ai/langchain). Built for developers who need reliable and scalable model serving without complex setup, it seamlessly integrates with AWS services for efficient model deployment.
 
-![cli](docs/images/cli.gif)
+![cli](docs/images/cli-all.avif)
 
 **Key Features**
 - One-click deployment of models to the cloud (Amazon SageMaker, Amazon ECS, Amazon EC2)
@@ -72,13 +72,13 @@ Deploy models with an interactive CLI or one command.
 emd deploy
 ```
 
-![deploy](docs/images/emd-deploy.png)
+![deploy](docs/images/cli-deploy.gif)
 
 
-> **Note:** To view all available parameters, run `emd deploy --help`.
+> **💡 Tip** To view all available parameters, run `emd deploy --help`.
 > When you see the message "Waiting for model: ...", it means the deployment task has started and you can stop the terminal output by pressing `Ctrl+C`.
-> For more information on deployment parameters, please refer to the [Deployment parameters](docs/en/installation.md).
-> For best practice examples of using command line parameters, please refer to the [Best Deployment Practices](docs/en/best_deployment_practices.md).
+> - For more information on deployment parameters, please refer to the [Deployment parameters](docs/en/installation.md).
+> - For best practice examples of using command line parameters, please refer to the [Best Deployment Practices](docs/en/best_deployment_practices.md).
 
 ### Show Status