Update README.md

README.md

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 ## 🏆 Achievements
-This model architecture **won First Place** in the **Vietnamese Language Speech Processing (VLSP)** competition **2025**.  
+By training this model architecture on 4,000 hours of data, I **won First Place** in the **Vietnamese Language Speech Processing (VLSP)** competition **2025**.
 Comprehensive details about **training data**, **optimization strategies**, **architecture improvements**, and **evaluation methodologies** are available in the paper below:
 
 👉 [Read the full paper on Overleaf](https://www.overleaf.com/read/wjntrgchhbgv#48aa25)
@@ -62,6 +62,11 @@ Comprehensive details about **training data**, **optimization strategies**, **ar
 
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+## 🚀 Online Demo
+
+You can try the model directly here:  
+👉 https://huggingface.co/spaces/hynt/k2-automatic-speech-recognition-demo
+
 ## 💬 Summary
 The **ZipFormer-30M-RNNT-6000h** model demonstrates that a lightweight architecture can still achieve state-of-the-art accuracy for Vietnamese ASR.  
 It is designed for **fast deployment on CPU-based systems**, making it ideal for **real-time speech recognition**, **callbots**, and **embedded speech interfaces**.