Tweak acknowledgements placement

app.py

@@ -183,15 +183,6 @@ def create_interface():
         - ⚡ **Fast Processing**: Optimized for quick transcription
         """)
 
-        gr.Markdown("""
-        ### 🔗 Links
-        - **Organization**: [RinggAI on Hugging Face](https://huggingface.co/RinggAI)
-        - **TTS Space**: [Ringg TTS V0](https://huggingface.co/spaces/RinggAI/Ringg-TTS-v0.0)
-        
-        ### 🙏 Acknowledgements
-        - Special thanks to [@jeremylee12](https://huggingface.co/jeremylee12) for their contributions
-        """)
-
         # Performance Comparison Table
         gr.Markdown("""
         ## Performance Benchmarks
@@ -220,6 +211,11 @@ def create_interface():
         
         Lower WER (Word Error Rate) indicates better accuracy. Our model delivers competitive performance for Hindi transcription tasks.
         """)
+
+        gr.Markdown("""
+        ### 🙏 Acknowledgements
+        - Special thanks to [@jeremylee12](https://huggingface.co/jeremylee12) for their contributions
+        """)
     
     return demo