Update app.py

app.py

@@ -164,30 +164,6 @@ def update_ito_output(all_results, selected_step):
 
 """ APP display """
 with gr.Blocks() as demo:
-    # gr.Markdown("# ITO-Master: Inference Time Optimization for Mastering Style Transfer")
-    # with gr.Row():
-    #     gr.Markdown("Interactive demo of **ITO-Master: Inference Time Optimization for Audio Effects Modeling of Music Mastering Processors**. (ISMIR 2025) \
-    #                 The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output. \
-    #                 Perform mastering style transfer with an input source audio and a reference mastering style audio. On top of this result, you can perform ITO to optimize the reference embedding $z_{ref}$ to further gain control over the output mastering style.\n\n"
-    #                 "**🔗 GitHub Source Code:** [SonyResearch/ITO-Master](https://github.com/SonyResearch/ITO-Master)"
-    #                )
-    #     gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
-    # gr.HTML("""
-    #     <script type="text/javascript"
-    #         async
-    #         src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js">
-    #     </script>
-    #     <h1>ITO-Master: Inference Time Optimization for Mastering Style Transfer</h1>
-    #     <p>
-    #         Interactive demo of <strong>ITO-Master: Inference Time Optimization for Audio Effects Modeling of Music Mastering Processors</strong> (ISMIR 2025).
-    #         The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output.
-    #         Perform mastering style transfer with an input source audio and a reference mastering style audio.
-    #         On top of this result, you can perform ITO to optimize the reference embedding \( z_{ref} \) to further gain control over the output mastering style.
-    #     </p>
-    #     <p><strong>🔗 GitHub Source Code:</strong> <a href="https://github.com/SonyResearch/ITO-Master" target="_blank">SonyResearch/ITO-Master</a></p>
-    # """)
-    # with gr.Row():
-    #     gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
     gr.Markdown("# ITO-Master: Inference Time Optimization for Audio Effects Modeling of Music Mastering Processors (ISMIR 2025)")
     with gr.Row():
         with gr.Column(scale=2):
@@ -200,7 +176,7 @@ with gr.Blocks() as demo:
                     Interactive demo of Inference Time Optimization (ITO) for Music Mastering Style Transfer.
                     The mastering style transfer is performed by a differentiable audio processing model, and the predicted parameters are shown as the output.
                     Perform mastering style transfer with an input source audio and a reference mastering style audio.
-                    On top of this result, you can perform ITO to optimize the reference embedding \\( z_{\\text{ref}} \\) to further gain control over the output mastering style.
+                    On top of this result, you can perform ITO to optimize the reference embedding $z_{ref}$ to further gain control over the output mastering style.
                 </p>
                 <p>
                     <strong>🔗 GitHub Source Code:</strong>