Enhance Gradio interface with categorized emotion examples based on Plutchik's Wheel of Emotions

app.py

@@ -144,15 +144,92 @@ class EmojiMashupApp:
                 outputs=[emotion_out, event_out, mashup_out]
             )
             
-            # Examples
-            gr.Examples(
-                examples=[
-                    ["I feel so happy today!"],
-                    ["I'm really angry right now"],
-                    ["Feeling tired after a long day"]
-                ],
-                inputs=text_input
-            )
+            # Examples based on Plutchik's Wheel of Emotions
+            with gr.Accordion("Examples", open=False):
+                gr.Markdown("### Primary Emotions")
+                gr.Examples(
+                    examples=[
+                        # Joy vs. Sadness
+                        ["I feel so happy and excited today!"],
+                        ["I'm feeling really sad and down right now"],
+                        
+                        # Trust vs. Disgust
+                        ["I completely trust my best friend with my life"],
+                        ["That smells absolutely disgusting and makes me nauseous"],
+                        
+                        # Fear vs. Anger
+                        ["I'm terrified of what might happen next"],
+                        ["I'm furious about how they treated me yesterday"],
+                        
+                        # Surprise vs. Anticipation
+                        ["Wow! I can't believe what just happened - totally unexpected!"],
+                        ["I'm eagerly waiting to see what happens next"]
+                    ],
+                    inputs=text_input,
+                    label="Primary Emotions"
+                )
+                
+                gr.Markdown("### Secondary Emotions")
+                gr.Examples(
+                    examples=[
+                        # Love (Joy + Trust)
+                        ["I deeply love and adore my family more than anything"],
+                        
+                        # Submission (Trust + Fear)
+                        ["I respect their authority and will follow their instructions"],
+                        
+                        # Awe (Fear + Surprise)
+                        ["I'm in awe of the magnificent view from the summit"],
+                        
+                        # Disapproval (Surprise + Sadness)
+                        ["I'm disappointed by the unexpected poor quality of work"],
+                        
+                        # Remorse (Sadness + Disgust)
+                        ["I feel so guilty and ashamed about what I did"],
+                        
+                        # Contempt (Disgust + Anger)
+                        ["I have nothing but contempt for their dishonest behavior"],
+                        
+                        # Aggressiveness (Anger + Anticipation)
+                        ["I'm determined to confront them about this issue"],
+                        
+                        # Optimism (Anticipation + Joy)
+                        ["I'm optimistic and hopeful about what the future holds"]
+                    ],
+                    inputs=text_input,
+                    label="Secondary Emotions"
+                )
+                
+                gr.Markdown("### Tertiary Emotions")
+                gr.Examples(
+                    examples=[
+                        # Anxiety (Anticipation + Fear)
+                        ["I'm feeling anxious about my upcoming presentation"],
+                        
+                        # Hope (Anticipation + Trust)
+                        ["I'm hopeful that everything will work out in the end"],
+                        
+                        # Jealousy (Anger + Trust)
+                        ["I felt jealous when I saw them together laughing"],
+                        
+                        # Sentimentality (Trust + Sadness)
+                        ["Looking at old photos makes me feel nostalgic and sentimental"],
+                        
+                        # Despair (Fear + Sadness)
+                        ["I'm in complete despair and see no way out of this situation"],
+                        
+                        # Shame (Fear + Disgust)
+                        ["I'm so embarrassed and ashamed of my behavior yesterday"],
+                        
+                        # Morbidness (Disgust + Joy)
+                        ["I have a strange fascination with creepy abandoned buildings"],
+                        
+                        # Delight (Surprise + Joy)
+                        ["I was absolutely delighted by the unexpected gift"]
+                    ],
+                    inputs=text_input,
+                    label="Tertiary Emotions"
+                )
             
         return interface