Update app.py

app.py

@@ -1,5 +1,11 @@
-
 import os
+import gradio as gr
+import random
+
+from inference import generate_response
+from logger import log_user_feedback
+from dashboard import update_dashboard_plot
+from watchdog import retrain_model
 
 # ✅ Check if trained_model/config.json exists, if not, initialize the model
 if not os.path.exists("trained_model/config.json"):
@@ -7,14 +13,40 @@ if not os.path.exists("trained_model/config.json"):
     print("⚙️ Reinitializing EvoTransformer model...")
     initialize_and_save_model()
 
-
-
-import gradio as gr
-from inference import generate_response
-from logger import log_user_feedback
-from dashboard import update_dashboard_plot
-from watchdog import retrain_model
-
+# 🎲 Random examples
+examples = [
+    {
+        "goal": "Escape from a burning house",
+        "option1": "Run out through the front door",
+        "option2": "Hide in the bathroom"
+    },
+    {
+        "goal": "Improve sleep quality",
+        "option1": "Use phone in bed",
+        "option2": "Turn off screens 1 hour before bed"
+    },
+    {
+        "goal": "Increase productivity at work",
+        "option1": "Multitask all day",
+        "option2": "Use Pomodoro technique"
+    },
+    {
+        "goal": "Lose weight safely",
+        "option1": "Skip meals",
+        "option2": "Exercise regularly and eat balanced meals"
+    },
+    {
+        "goal": "Ace an exam",
+        "option1": "Cram the night before",
+        "option2": "Study consistently for 2 weeks"
+    },
+]
+
+def load_random_example():
+    example = random.choice(examples)
+    return example["goal"], example["option1"], example["option2"]
+
+# 🧠 Model suggestion UI
 evo_output = gr.Textbox(label="🧠 EvoTransformer Suggestion")
 gpt_output = gr.Textbox(label="💬 GPT-3.5 Suggestion")
 feedback_output = gr.Textbox(visible=False)
@@ -41,7 +73,9 @@ with gr.Blocks(title="EvoTransformer v2.1 – Compare Options and Learn") as dem
         option1_input = gr.Textbox(label="Option 1", placeholder="e.g. Exit house through main door")
         option2_input = gr.Textbox(label="Option 2", placeholder="e.g. Hide under bed")
 
-    compare_btn = gr.Button("🔍 Compare")
+    with gr.Row():
+        compare_btn = gr.Button("🔍 Compare")
+        random_btn = gr.Button("🎲 Load Random Example")
 
     with gr.Row():
         evo_output.render()
@@ -59,6 +93,12 @@ with gr.Blocks(title="EvoTransformer v2.1 – Compare Options and Learn") as dem
         outputs=[evo_output, gpt_output]
     )
 
+    random_btn.click(
+        fn=load_random_example,
+        inputs=[],
+        outputs=[goal_input, option1_input, option2_input]
+    )
+
     feedback_btn.click(
         fn=handle_feedback,
         inputs=[goal_input, option1_input, option2_input, winner_dropdown],