Added header image. Removed extra header. Menu title shortened

docs/tutorial_mmj.md

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 NVIDIA [Metropolis Microservices for Jetson](https://developer.nvidia.com/blog/announcing-metropolis-microservices-on-nvidia-jetson-orin-for-rapid-edge-ai-development/) simplifies the development of vision AI applications, offering a suite of customizable, cloud-native tools. Before diving into this tutorial, ensure you've filled out the Metropolis Microservices for Jetson [Early Access form](https://developer.nvidia.com/metropolis-microservices/jetson-application-form) to gain the necessary access to launch the services. This step is crucial as it enables you to utilize all the features and capabilities discussed in this guide.
 
-Perfect for both newcomers and experts, this tutorial provides straightforward steps to kick-start your edge AI projects. Whether you're a student or an ecosystem partner working on a use case, this guide offers a straightforward start for every skill level:
+Perfect for both newcomers and experts, this tutorial provides straightforward steps to kick-start your edge AI projects. Whether you're a student or an ecosystem partner working on a use case, this guide offers a straightforward start for every skill level.
+
+![android2](./images/mmj_tutorial.gif)
 
 ### 0. Install NVIDIA Jetson Services:
 
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 ### 4. Download some sample videos and upload them to NVStreamer
-### 
+
 Download them from [here](https://registry.ngc.nvidia.com/orgs/e7ep4mig3lne/teams/release/resources/sample-videos).
 
 ```
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 ---
 
 ![image1](./images/mmj_streamer.png)
+
 ---
 
 

mkdocs.yml

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     - Audio:
       - AudioCraft: tutorial_audiocraft.md
       - Whisper: tutorial_whisper.md
-    - Metropolis Microservices for Jetson:
+    - Metropolis Microservices:
       - First steps: tutorial_mmj.md
     # - Tools:
     #   - LangChain: tutorial_distillation.md