Update app.py

app.py

@@ -172,24 +172,44 @@ with gr.Blocks() as demo:
     #                 "**🔗 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>
-    """)
+    # 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():
-        gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
-
-    
+        with gr.Column(scale=2):
+            gr.HTML("""
+                <!-- Load MathJax -->
+                <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
+                <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+
+                <p>
+                    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.
+                </p>
+                <p>
+                    <strong>🔗 GitHub Source Code:</strong>
+                    <a href="https://github.com/SonyResearch/ITO-Master" target="_blank">SonyResearch/ITO-Master</a>
+                </p>
+            """)
+        with gr.Column(scale=1):
+            gr.Image("ito_new.png", width=500, height=300, label="ITO pipeline")
+            
     gr.Markdown("## Step 1: Mastering Style Transfer")
 
     with gr.Tab("Upload Audio"):