Update app.py

app.py

@@ -909,20 +909,23 @@ 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("# The Emotional Machine")
     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.
+        **The Emotional Machine** is a digital media project that generates virtual environments 
+        using multimodal speech emotion recognition as its main mode of interaction.
     
-        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.
+        **How to interact:**
+        
+        1) Record your voice or upload an audio file.  
+        2) Define the length to chunk your sample.  
+        3) Use the checkbox if you want to generate audio for each chunk.  
+        4) Generate your Affective Virtual Environment and wait for the results.  
+        5) Download the HTML file.  
+        6) Open your creation using any web browser.  
+        ---
+        **Learn more:**  
+        • For more information about the project, visit: [https://emotional-machines.com]  
         """
     )