Update app.py

app.py

@@ -63,83 +63,58 @@ 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)
-
-# 🔁 Core logic for response generation
-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_output = f"""
-    ### ✅ Evo's Suggestion: **{evo_ans}**
-    **🧠 Reasoning:**  
-    {reasoning}
-
-    **📚 Context Used:**  
-    {evo_context}
-    """
-
-    gpt_output = f"""
-    ### 🤖 GPT-3.5 Suggestion  
-    {gpt_ans}
-    """
-
-    return evo_output.strip(), gpt_output.strip()
-
-# 🧠 Feedback logic
-def save_feedback(question, notes, evo_output, feedback):
-    log_feedback(question, notes, evo_output, feedback)
-    if feedback == "👍 Evo was correct. Retrain from this.":
-        return "✅ Evo will be retrained with your feedback."
-    return "📩 Feedback recorded. Thanks!"
-
-with gr.Blocks(title="EvoRAG – General-Purpose AI with Web Reasoning") as demo:
-    gr.Markdown("""
-    <div style="text-align: center; font-size: 32px; font-weight: bold; color: #222">🧠 EvoRAG</div>
-    <div style="text-align: center; font-size: 16px; margin-bottom: 20px; color: #444">
-    General-Purpose Adaptive AI that Thinks, Reads, and Evolves – Powered by Real-Time Web Search
-    </div>
-    """)
+# Default demo
+default_question = "What should I do if my house is on fire?"
+default_option1 = "I hide under the bed"
+default_option2 = "I run for dear life"
+default_context = ""
+
+def run_comparison(question, option1, option2, context):
+    options = [option1.strip(), option2.strip()]
+    evo_answer, evo_reasoning, evo_conf, evo_context = get_evo_response(question, options, context)
+    gpt_answer = get_gpt_response(question, context)
+
+    evo_output = f"""**✅ Evo's Suggestion:** {evo_answer}\n\n**Why?** {evo_reasoning}\n\n**Context Used:** {evo_context[:500]}..."""
+    gpt_output = f"""**🤖 GPT-3.5's Suggestion:**\n\n{gpt_answer}"""
+
+    return evo_output, gpt_output
+
+def handle_feedback(evo_was_correct, question, option1, option2, context, evo_output):
+    if evo_was_correct is not None:
+        log_feedback(question, option1, option2, context, evo_output, evo_was_correct)
+        return "✅ Feedback recorded. Evo will retrain based on this soon!"
+    return "⚠️ Please select feedback before submitting."
+
+with gr.Blocks(theme=gr.themes.Base(), title="EvoRAG - Smarter Than GPT?") as demo:
+    gr.Markdown("## 🧠 EvoRAG")
+    gr.Markdown("**General-Purpose Adaptive AI that Thinks, Reads, and Evolves — Powered by Real-Time Web Search**")
+    gr.Markdown("> Compare reasoning between Evo (which learns) and GPT-3.5 (which doesn't). You decide who wins.")
 
     with gr.Row():
         with gr.Column():
-            question = gr.Textbox(label="📝 Your Question", placeholder="e.g. What should I do if my house is on fire?")
-            option1 = gr.Textbox(label="🔹 Option 1", placeholder="e.g. I hide under the bed")
-            option2 = gr.Textbox(label="🔸 Option 2", placeholder="e.g. I run for dear life")
-            notes = gr.Textbox(label="📂 Extra Notes or Context (Optional)", lines=4, placeholder="Paste news, user context, or background information")
-            run_button = gr.Button("🚀 Run Comparison")
+            question = gr.Textbox(label="❓ Your Question", placeholder="e.g. What should I do if my house is on fire?", value=default_question)
+            option1 = gr.Textbox(label="🔹 Option 1", placeholder="e.g. I hide under the bed", value=default_option1)
+            option2 = gr.Textbox(label="🔸 Option 2", placeholder="e.g. I run for dear life", value=default_option2)
+            context = gr.Textbox(label="📂 Extra Notes or Context (Optional)", placeholder="Paste news, user context, or background information", lines=4, value=default_context)
+            compare_btn = gr.Button("🚀 Think & Compare")
 
         with gr.Column():
-            gr.Markdown("### 🧠 EvoRAG's Response")
-            evo_output = gr.Markdown()
-            gr.Markdown("### 🤖 GPT-3.5's Suggestion")
-            gpt_output = gr.Markdown()
-
-    run_button.click(
-        fn=run_comparison,
-        inputs=[question, option1, option2, notes],
-        outputs=[evo_output, gpt_output]
-    )
+            evo_out = gr.Markdown(label="🧬 EvoRAG's Response")
+            gpt_out = gr.Markdown(label="🤖 GPT-3.5's Suggestion")
 
-    gr.Markdown("### 🔁 Help Evo Learn – Give Feedback")
-    with gr.Row():
-        feedback = gr.Radio(
-            ["👍 Evo was correct. Retrain from this.", "👎 Evo was wrong."],
-            label="What did you think of Evo's answer?"
-        )
-        submit_button = gr.Button("📬 Submit Feedback / Retrain Evo")
-        feedback_status = gr.Textbox(visible=False)
-
-    submit_button.click(
-        fn=save_feedback,
-        inputs=[question, notes, evo_output, feedback],
+    compare_btn.click(fn=run_comparison, inputs=[question, option1, option2, context], outputs=[evo_out, gpt_out])
+
+    gr.Markdown("---")
+    gr.Markdown("### 🧠 Help Evo Get Smarter – Give Feedback")
+    feedback = gr.Radio(["👍 Evo was correct. Retrain from this.", "👎 Evo was wrong."], label="What did you think of Evo's answer?")
+    submit_feedback = gr.Button("📬 Submit Feedback / Retrain Evo")
+    feedback_status = gr.Textbox(label="", interactive=False)
+
+    submit_feedback.click(
+        fn=lambda fb, q, o1, o2, ctx, eo: handle_feedback(fb == "👍 Evo was correct. Retrain from this.", q, o1, o2, ctx, eo),
+        inputs=[feedback, question, option1, option2, context, evo_out],
         outputs=[feedback_status]
     )
 
 demo.launch()
-