Update README.md

README.md

@@ -18,6 +18,11 @@ OmniAudio is the world's fastest and most efficient audio-language model for on-
 
 Unlike traditional approaches that chain ASR and LLM models together, OmniAudio-2.6B unifies both capabilities in a single efficient architecture for minimal latency and resource overhead.
 
+## Quick Links
+1. Interactive Demo in our [HuggingFace Space](https://huggingface.co/spaces/NexaAIDev/omni-audio-demo)
+2. [Quickstart for local setup](#How-to-Use-On-Device)
+3. Learn more in our [Blogs](https://nexa.ai/blogs/OmniAudio-2.6B)
+
 ## Demo
 
 <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6618e0424dbef6bd3c72f89a/538_aQ2hRexTlXFL-cYhW.mp4"></video>
@@ -32,10 +37,6 @@ On a 2024 Mac Mini M4 Pro, **Qwen2-Audio-7B-Instruct** running on 🤗 Transform
 * **Recording Summary**: Simply ask "Can you summarize this meeting note?" to convert lengthy recordings into concise, actionable summaries.
 * **Voice Tone Modification**: Transform casual voice memos into professional communications. When you request "Can you make this voice memo more professional?" OmniAudio adjusts the tone while preserving the core message.
 
-## Quick Links
-1. Interactive Demo in our [HuggingFace Space](https://huggingface.co/spaces/NexaAIDev/omni-audio-demo)
-2. [Quickstart for local setup](#How-to-Use-On-Device)
-3. Learn more in our [Blogs](https://nexa.ai/blogs/OmniAudio-2.6B)
 
 ## How to Use On Device
 Step 1: Install Nexa-SDK (local on-device inference framework)