Update app.py

app.py

@@ -1,11 +1,11 @@
-# ✅ Evo Showcase Mode: Gradio App with GPT-3.5 Comparison (openai>=1.0 fix)
+# ✅ Evo Showcase Mode: Gradio App with Enhanced Info Panel + GPT-3.5 Comparison
 
 import gradio as gr
 import openai
 from inference import predict as evo_predict
 
 # 🔐 SET YOUR GPT-3.5 API KEY HERE
-openai.api_key = "sk-..."  # You must insert your OpenAI API key
+openai.api_key = "sk-..."  # Replace with your actual key
 
 # ✅ Use the new openai>=1.0.0 API
 client = openai.OpenAI()
@@ -42,30 +42,39 @@ examples = [
     ["Start a fire", "Use a match", "Pour water"],
     ["Warm up food", "Use microwave", "Put it in fridge"],
     ["Charge a phone", "Plug it in", "Put it on grass"],
-    ["Get rid of bad smell", "Open window", "Close door"],
+    ["Stop a car", "Press the brake", "Press the horn"]
 ]
 
-demo = gr.Interface(
-    fn=compare,
-    inputs=[
-        gr.Textbox(label="Goal"),
-        gr.Textbox(label="Solution 1"),
-        gr.Textbox(label="Solution 2"),
-    ],
-    outputs=[
-        gr.Textbox(label="EvoTransformer Response"),
-        gr.Textbox(label="GPT-3.5 Response"),
-        gr.Textbox(label="Verdict")
-    ],
-    title="⚔️ Evo vs GPT-3.5 – Real-Time Commonsense Showdown",
-    description="""
-🧠 EvoTransformer v2.1 – PIQA Accuracy: 69.7% (vs GPT-3.5 ≈ 81%)
-13M Parameters • Fully Scratch-Trained • Leans Smart
-
-This live app shows Evo's answer side-by-side with GPT-3.5. Try it and witness evolution.
-""",
-    examples=examples,
-    theme="default"
-)
-
-demo.launch()
+with gr.Blocks(title="⚔️ Evo vs GPT-3.5 – Real-Time Commonsense Showdown") as demo:
+    gr.Markdown("""
+    # 🧠 EvoTransformer v2.1
+    **PIQA Accuracy:** 69.7%     |     **Model Size:** ~13M Parameters     |     **Baseline:** GPT-3.5 ≈ 81%
+
+    EvoTransformer is a scratch-built reasoning model trained on just 1K PIQA examples. No pretraining. No fine-tuning. Pure evolution.
+
+    Compare its decisions with GPT-3.5 in real-time and witness how intelligence can emerge even from lean, efficient architectures.
+    """)
+
+    with gr.Row():
+        goal = gr.Textbox(label="Goal")
+    with gr.Row():
+        sol1 = gr.Textbox(label="Solution 1")
+        sol2 = gr.Textbox(label="Solution 2")
+
+    evo_output = gr.Textbox(label="EvoTransformer Response")
+    gpt_output = gr.Textbox(label="GPT-3.5 Response")
+    verdict_output = gr.Textbox(label="Verdict")
+
+    submit = gr.Button("Submit")
+    submit.click(fn=compare, inputs=[goal, sol1, sol2], outputs=[evo_output, gpt_output, verdict_output])
+
+    gr.Examples(examples=examples, inputs=[goal, sol1, sol2], outputs=[evo_output, gpt_output, verdict_output], fn=compare, cache_examples=False)
+
+    gr.Markdown("""
+    > 🧪 *Note: EvoTransformer is a scratch-built model trained on 1K PIQA examples. It may occasionally misinterpret context or idioms. That’s part of its evolution.*
+
+    ---
+    Made with ❤️ by Dr. Heman Mohabeer — EvoTransformer is not just code. It's evolution.
+    """)
+
+    demo.launch()