Add random example feature and restructure emotion examples in Gradio interface

app.py

@@ -7,6 +7,7 @@ import gradio as gr
 from utils import logger
 from emoji_processor import EmojiProcessor
 from config import EMBEDDING_MODELS
+import random
 
 class EmojiMashupApp:
     def __init__(self):
@@ -15,6 +16,9 @@ class EmojiMashupApp:
         self.processor = EmojiProcessor(model_key="mpnet", use_cached_embeddings=True)  # Default to mpnet
         self.processor.load_emoji_dictionaries()
         
+        # Store all example sentences for the random picker
+        self.all_examples = []
+        
     def create_model_dropdown_choices(self):
         """Create formatted choices for the model dropdown.
         
@@ -51,6 +55,17 @@ class EmojiMashupApp:
                 return f"Failed to switch to {model_key} model"
         else:
             return f"Unknown model: {model_key}"
+    
+    def get_random_example(self):
+        """Get a random example from the collected examples.
+        
+        Returns:
+            A randomly selected example sentence
+        """
+        if not self.all_examples:
+            # Return a default message if no examples are available
+            return "I feel so happy and excited today!"
+        return random.choice(self.all_examples)
             
     def process_with_model(self, model_selection, text, use_cached_embeddings):
         """Process text with selected model.
@@ -81,6 +96,43 @@ class EmojiMashupApp:
         Returns:
             Gradio Interface object
         """
+        # Define all example sentences
+        primary_examples = [
+            "I feel so happy and excited today!",
+            "I'm feeling really sad and down right now",
+            "I completely trust my best friend with my life",
+            "That smells absolutely disgusting and makes me nauseous",
+            "I'm terrified of what might happen next",
+            "I'm furious about how they treated me yesterday",
+            "Wow! I can't believe what just happened - totally unexpected!",
+            "I'm eagerly waiting to see what happens next"
+        ]
+        
+        secondary_examples = [
+            "I deeply love and adore my family more than anything",
+            "I respect their authority and will follow their instructions",
+            "I'm in awe of the magnificent view from the summit",
+            "I'm disappointed by the unexpected poor quality of work",
+            "I feel so guilty and ashamed about what I did",
+            "I have nothing but contempt for their dishonest behavior",
+            "I'm determined to confront them about this issue",
+            "I'm optimistic and hopeful about what the future holds"
+        ]
+        
+        tertiary_examples = [
+            "I'm feeling anxious about my upcoming presentation",
+            "I'm hopeful that everything will work out in the end",
+            "I felt jealous when I saw them together laughing",
+            "Looking at old photos makes me feel nostalgic and sentimental",
+            "I'm in complete despair and see no way out of this situation",
+            "I'm so embarrassed and ashamed of my behavior yesterday",
+            "I have a strange fascination with creepy abandoned buildings",
+            "I was absolutely delighted by the unexpected gift"
+        ]
+        
+        # Store all examples for the random picker
+        self.all_examples = primary_examples + secondary_examples + tertiary_examples
+        
         with gr.Blocks(title="Sentence → Emoji Mashup") as interface:
             gr.Markdown("# Sentence → Emoji Mashup")
             gr.Markdown("Get the top emotion and event emoji from your sentence, and view the mashup!")
@@ -102,12 +154,15 @@ class EmojiMashupApp:
                         info="When enabled, embeddings will be saved to and loaded from disk"
                     )
                     
-                    # Text input
-                    text_input = gr.Textbox(
-                        lines=2, 
-                        placeholder="Type a sentence...",
-                        label="Your message"
-                    )
+                    # Text input with random example button
+                    with gr.Row():
+                        text_input = gr.Textbox(
+                            lines=2, 
+                            placeholder="Type a sentence...",
+                            label="Your message",
+                            scale=9
+                        )
+                        random_btn = gr.Button("🎲", scale=1, min_width=40, size="sm", variant="secondary", tooltip="Pick a random example")
                     
                     # Process button
                     submit_btn = gr.Button("Generate Emoji Mashup", variant="primary")
@@ -141,6 +196,13 @@ class EmojiMashupApp:
                 outputs=[model_info]
             )
             
+            # Random example button handler
+            random_btn.click(
+                fn=self.get_random_example,
+                inputs=None,
+                outputs=text_input
+            )
+            
             # Process button handler with share button visibility update
             def process_and_show_share(model_selection, text, use_cached_embeddings):
                 result = self.process_with_model(model_selection, text, use_cached_embeddings)
@@ -174,92 +236,28 @@ class EmojiMashupApp:
                 }"""
             )
             
-            # Examples based on Plutchik's Wheel of Emotions - now open by default
-            with gr.Accordion("Examples", open=True):
-                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"
-                )
+            # Examples section - using Tabs instead of Accordion to ensure visibility
+            gr.Markdown("## Emotion Examples")
+            gr.Markdown("Try these examples based on Plutchik's Wheel of Emotions:")
+            
+            with gr.Tabs() as tabs:
+                with gr.TabItem("Primary Emotions"):
+                    gr.Examples(
+                        examples=[[example] for example in primary_examples],
+                        inputs=text_input
+                    )
                 
-                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"
-                )
+                with gr.TabItem("Secondary Emotions"):
+                    gr.Examples(
+                        examples=[[example] for example in secondary_examples],
+                        inputs=text_input
+                    )
                 
-                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"
-                )
+                with gr.TabItem("Tertiary Emotions"):
+                    gr.Examples(
+                        examples=[[example] for example in tertiary_examples],
+                        inputs=text_input
+                    )
             
         return interface