Update app.py

app.py

@@ -1,7 +1,8 @@
 import gradio as gr
-from inference import evo_chat_predict, get_model_config, get_gpt_response, retrain_from_feedback
+from inference import evo_chat_predict, get_model_config, get_gpt_response
 import pandas as pd
 import csv
+import os
 from datetime import datetime
 
 feedback_log = []
@@ -55,10 +56,23 @@ with gr.Blocks(theme=gr.themes.Base(), css="body { background-color: #0f0f0f; co
 
         return evo_text, gpt_text, stats_text, updated_df
 
-    # 🔁 Actual retraining
+    # 🔁 Retrain Evo using retrain.py
     def retrain_evo():
-        status = retrain_from_feedback(feedback_log)
-        return status
+        if not feedback_log:
+            return "⚠️ No feedback data to retrain from."
+
+        # Save log to feedback_log.csv in required format
+        with open("feedback_log.csv", "w", newline="") as f:
+            writer = csv.writer(f)
+            writer.writerow(["prompt", "context", "label"])
+            for row in feedback_log:
+                prompt = row[0]
+                context = row[6]  # context_used
+                label = 0 if row[3] == row[1] else 1  # 0 if answer == option1 else 1
+                writer.writerow([prompt, context, label])
+
+        os.system("python retrain.py")
+        return "✅ Evo retrained from feedback_log.csv."
 
     # 🧹 Clear UI
     def clear_fields():