Update app.py

app.py

@@ -551,7 +551,7 @@ def create_360_viewer_html(image_paths, audio_paths, output_path):
             #controls {{
                 position: absolute;
                 top: 10px;
-                left: 10px;
+                right: 10px;
                 z-index: 1000;
                 background: rgba(0, 0, 0, 0.7);
                 color: white;
@@ -908,12 +908,21 @@ custom_css = """
 # Create the Gradio interface with proper output handling
 with gr.Blocks(title="Affective Virtual Environments - Chunked Processing", css=custom_css) as interface:
     gr.Markdown("# Affective Virtual Environments")
-    gr.Markdown("An Affective Virtual Environment or AVE is a digital space composed of two components: An emotion recognition system and a virtual environment generator."
-    "In this project, we use bimodal speech emotion recognition to predict categorical emotions from semantic and acoustic modes."
-    "Virtual Environments are generated using deepAI and MusicGEN."
-    "To interact, record your voice or upload an audio file. Define the length to Chunk your sample, and if you want to generate Audio for each chunk or not."
-    "Generate your Affective Virtual Environment and wait for the results."
-    "Download the HTML file with your creation.")
+    gr.Markdown(
+        """
+        An Affective Virtual Environment or AVE is a digital space composed of two components: An emotion recognition system and a virtual environment generator.
+    
+        In this project, we use bimodal speech emotion recognition to predict categorical emotions from semantic and acoustic modes.
+    
+        Virtual Environments are generated using deepAI and MusicGEN.
+    
+        To interact, record your voice or upload an audio file. Define the length to Chunk your sample, and if you want to generate Audio for each chunk or not.
+    
+        Generate your Affective Virtual Environment and wait for the results.
+    
+        Download the HTML file with your creation.
+        """
+    )
     
     with gr.Row():
         with gr.Column(scale=2):