Reorder UI and update Hindi focus

app.py

@@ -133,15 +133,70 @@ def create_interface():
         gr.Markdown("""
         <div class="main-header">
         <h1>🎙️ Ringg STT V0</h1>
-        <p>State-of-the-Art Bilingual Speech-to-Text (English & Hindi)</p>
+        <p>High-Accuracy Hindi Speech-to-Text</p>
         </div>
         """)
+
+        # API Status indicator
+        with gr.Row():
+            with gr.Column(scale=4):
+                api_status = gr.Textbox(
+                    label="🔌 API Status",
+                    value=health_status["message"],
+                    interactive=False
+                )
+            with gr.Column(scale=1):
+                check_btn = gr.Button("🔄 Check Status", size="sm")
+                check_btn.click(check_api_status, outputs=api_status)
+
+        gr.Markdown("""
+        ### 📁 File Upload
+        Upload an audio file for transcription (supports WAV, MP3, FLAC, M4A, etc.)
+        """)
+
+        audio_input = gr.Audio(
+            label="📁 Upload Audio File",
+            type="filepath",
+            sources=["upload"]
+        )
+
+        transcribe_btn = gr.Button("🔄 Transcribe", variant="primary", size="lg")
+
+        file_output = gr.Textbox(
+            label="Transcription Result",
+            lines=8,
+            interactive=False,
+            placeholder="Upload a file and click Transcribe..."
+        )
+
+        transcribe_btn.click(
+            transcribe_audio,
+            inputs=audio_input,
+            outputs=file_output
+        )
+
+        gr.Markdown("""
+        ### ✨ Features
+        - 🌐 **Hindi Support**: Accurate transcription for Hindi audio
+        - 🎯 **High Accuracy**: Competitive with leading ASR models  
+        - 📁 **File Upload**: Support for various audio formats (WAV, MP3, FLAC, etc.)
+        - ⚡ **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
         
-        Our model achieves **state-of-the-art performance** on English-Hindi bilingual speech recognition:
+        Our model achieves **state-of-the-art performance** on Hindi speech recognition benchmarks:
         """)
         
         with gr.Row():
@@ -163,71 +218,8 @@ def create_interface():
         gr.Markdown("""
         **Ringg STT V0** ranks **2nd** among top models, outperforming OpenAI Whisper Large-v3 and other leading solutions.
         
-        Lower WER (Word Error Rate) indicates better accuracy. Our model achieves competitive performance while supporting bilingual transcription.
-        """)
-        
-        gr.Markdown("""
-        ### ✨ Features
-        - 🌐 **Bilingual Support**: Transcribe English and Hindi speech
-        - 🎯 **High Accuracy**: Competitive with leading ASR models  
-        - 📁 **File Upload**: Support for various audio formats (WAV, MP3, FLAC, etc.)
-        - ⚡ **Fast Processing**: Optimized for quick transcription
-        - 🔒 **Private Infrastructure**: Secure and controlled deployment
-        """)
-        
-        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
+        Lower WER (Word Error Rate) indicates better accuracy. Our model delivers competitive performance for Hindi transcription tasks.
         """)
-        
-        # API Status indicator
-        with gr.Row():
-            with gr.Column(scale=4):
-                api_status = gr.Textbox(
-                    label="🔌 API Status",
-                    value=health_status["message"],
-                    interactive=False
-                )
-            with gr.Column(scale=1):
-                check_btn = gr.Button("🔄 Check Status", size="sm")
-                check_btn.click(check_api_status, outputs=api_status)
-        
-        with gr.Tab("📁 File Upload"):
-            gr.Markdown("### Upload Audio File")
-            gr.Markdown("Upload an audio file for transcription (supports WAV, MP3, FLAC, M4A, etc.)")
-            
-            audio_input = gr.Audio(
-                label="📁 Upload Audio File",
-                type="filepath",
-                sources=["upload"]
-            )
-            
-            transcribe_btn = gr.Button("🔄 Transcribe", variant="primary", size="lg")
-            
-            file_output = gr.Textbox(
-                label="Transcription Result",
-                lines=8,
-                interactive=False,
-                placeholder="Upload a file and click Transcribe..."
-            )
-            
-            transcribe_btn.click(
-                transcribe_audio,
-                inputs=audio_input,
-                outputs=file_output
-            )
-            
-            gr.Markdown("""
-            ### 💡 Tips for Best Results
-            - Use clear audio with minimal background noise
-            - Speak naturally at a moderate pace
-            - For file upload, ensure audio quality is good (16kHz or higher recommended)
-            - Model handles code-switching between English and Hindi
-            """)
     
     return demo