Update app.py

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+'''import gradio as gr
 from inference import get_evo_response, get_gpt_response
 import os
 from logger import log_feedback
@@ -59,4 +59,67 @@ with gr.Blocks(title="🧠 EvoRAG – General-Purpose Adaptive AI with Web Reaso
         outputs=[feedback_result]
     )
 
+demo.launch()'''
+import gradio as gr
+from inference import get_evo_response, get_gpt_response
+from logger import log_feedback
+import os
+
+LOG_PATH = "feedback_log.csv"
+if os.path.dirname(LOG_PATH):
+    os.makedirs(os.path.dirname(LOG_PATH), exist_ok=True)
+
+def run_comparison(question, option1, option2, notes):
+    options = [option1, option2]
+    evo_ans, reasoning, confidence, evo_context = get_evo_response(question, options, notes)
+    gpt_ans = get_gpt_response(question, notes)
+
+    evo_text = f"**Evo's Suggestion:**\n✅ {evo_ans}\n\n**Why?**\n{reasoning}\n\n---\n**Context Used**\n{evo_context}"
+    gpt_text = f"**GPT-3.5 Suggestion:**\n{gpt_ans}"
+
+    return evo_text, gpt_text
+
+def save_feedback(question, notes, evo_answer, feedback):
+    log_feedback(question, notes, evo_answer, feedback)
+    return "✅ Feedback received!"
+
+with gr.Blocks(title="EvoRAG – Adaptive AI with Web Reasoning") as demo:
+    gr.Markdown("""
+    <div style='text-align: center; font-size: 28px; font-weight: bold;'>🧠 EvoRAG</div>
+    <div style='text-align: center; font-size: 16px; margin-bottom: 20px;'>General-Purpose Adaptive AI with Real-Time Web Search + Reasoning</div>
+    """)
+    
+    with gr.Row():
+        with gr.Column():
+            question = gr.Textbox(label="📝 Your Question", placeholder="e.g. Who is the president of the United States?")
+            option1 = gr.Textbox(label="🔹 Option 1", placeholder="e.g. Joe Biden")
+            option2 = gr.Textbox(label="🔸 Option 2", placeholder="e.g. Donald Trump")
+            notes = gr.Textbox(label="📂 Extra Notes or Context (Optional)", lines=3, placeholder="Paste any relevant background info")
+            submit = gr.Button("🚀 Run Comparison", size="lg")
+
+        with gr.Column():
+            gr.Markdown("### 🧠 EvoRAG's Reasoned Answer")
+            evo_output = gr.Markdown()
+            gr.Markdown("### 🤖 GPT-3.5's Suggestion")
+            gpt_output = gr.Markdown()
+
+    submit.click(
+        fn=run_comparison,
+        inputs=[question, option1, option2, notes],
+        outputs=[evo_output, gpt_output]
+    )
+
+    gr.Markdown("### 🗳️ Was EvoRAG helpful?")
+    with gr.Row():
+        feedback_choice = gr.Radio(["👍 Helpful", "👎 Not Helpful"], label="Your Feedback")
+        send_feedback = gr.Button("📬 Submit Feedback")
+        feedback_msg = gr.Textbox(visible=False)
+
+    send_feedback.click(
+        fn=save_feedback,
+        inputs=[question, notes, evo_output, feedback_choice],
+        outputs=[feedback_msg]
+    )
+
 demo.launch()
+