Update app.py

app.py

@@ -176,14 +176,14 @@ def process_audio_rag(audio_file_path, query, chunk_length=30, use_openai=False,
 # Create Gradio interface
 with gr.Blocks(title="AudioRAG Demo") as demo:
     gr.Markdown("# AudioRAG Demo - Semantic Audio Search")
-        gr.Markdown("""
-        This demo builds on the work from the ColQwen team, expanding retrieval capabilities beyond images to include audio and video. Inspired by the Qwen-Omni series, ColQwen-Omni (3B) pushes the boundaries of multimodal search — embedding and retrieving almost any type of content.
+    gr.Markdown("""
+    This demo builds on the work from the ColQwen team, expanding retrieval capabilities beyond images to include audio and video. Inspired by the Qwen-Omni series, ColQwen-Omni (3B) pushes the boundaries of multimodal search — embedding and retrieving almost any type of content.
         
-        **What’s new?**  
-        Unlike traditional methods, this model searches directly through raw audio without converting it to text. It understands semantic meaning in sound, speech, and audio patterns — making "AudioRAG" a real possibility.
+    **What’s new?**  
+    Unlike traditional methods, this model searches directly through raw audio without converting it to text. It understands semantic meaning in sound, speech, and audio patterns — making "AudioRAG" a real possibility.
         
-        📖 [Blog post](https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval) | 🤗 [Model on Hugging Face](https://huggingface.co/vidore/colqwen-omni-v0.1)
-        """)
+    📖 [Blog post](https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval) | 🤗 [Model on Hugging Face](https://huggingface.co/vidore/colqwen-omni-v0.1)
+    """)
     
     with gr.Row():
         with gr.Column():