Update app.py

app.py

@@ -182,15 +182,19 @@ This section provides a simplified visualization of a more complex on-device arc
 
 In hardware deployment, the NVIDIA Jetson Orin Nano performs:
 
+• Robot hardware daemon service 
+• Interactive conversational application
 • Real-time transcript ingestion  
 • VAD extraction (NRC-VAD lexicon)  
 • Structural language metrics (Complexity + Coherence)  
 • Radial emotional amplification (Passion)  
 • Cinematic nearest-exemplar alignment (Drama)  
 • Dual-timescale blending (fast burst + slow baseline via Nemotron/Ollama)  
-• Continuous emotional state streaming to the display module  
+• Continuous emotional state streaming for display on an expression module  
 
-This demo isolates the fast-loop transformation for clarity.
+This demo isolates a single loop transformation for clarity.
+
+Our low-power edge device is capable of running this loop 200x per second.
         """
     )
 
@@ -221,8 +225,8 @@ This demo isolates the fast-loop transformation for clarity.
     gr.Markdown(
         """
 **Note:**  
-This plot shows a 2D Valence–Arousal projection for visualization only.  
-All transformations and color inference operate on the full 5D VAD+CC vector.
+This plot shows a 2D Valence–Arousal projection for visualization only, but results are from the actual model.  
+Actual transformation and color inference are more complex and operate on the full 5D VAD+CC vector.
         """
     )
 
@@ -235,7 +239,7 @@ All transformations and color inference operate on the full 5D VAD+CC vector.
 
     gr.Markdown(
         """
-The finalized VAD+CC vector is transmitted to an embedded display module.
+The finalized VAD+CC vector is transmitted to an expressive display module. In this example, we are converting to colors to be used for eyes.
 
 The module does not compute emotion.  
 It receives the 5D emotional state and runs a trained neural model to convert it into expressive color.
@@ -243,7 +247,7 @@ It receives the 5D emotional state and runs a trained neural model to convert it
 Model used here (same as deployment):  
 https://huggingface.co/danielritchie/vibe-color-model
 
-VAD+CC → Embedded Model → Color Rendering
+VAD+CC (Affect Engine) → Embedded Model → Color Rendering (Expression)
         """
     )