Update inference.py

inference.py

@@ -87,8 +87,34 @@ def get_system_stats():
     }
 
 def retrain_from_feedback_csv():
-    if not os.path.exists(FEEDBACK_LOG):
-        return "⚠️ No feedback log file found."
+    import pandas as pd
+    from evo_architecture import mutate_genome, log_genome, save_best_genome, build_model_from_config
+    from train_utils import train_model_on_feedback  # your training function
+
+    if not os.path.exists("feedback_log.csv"):
+        return "⚠️ No feedback log found."
+
+    df = pd.read_csv("feedback_log.csv")
+
+    if df.empty or "vote" not in df.columns or df["vote"].dropna().empty:
+        return "⚠️ No usable feedback data. Make sure you selected Evo or GPT in previous interactions."
+
+    # Filter only rows with valid vote
+    df = df[df["vote"].isin(["Evo", "GPT"])]
+
+    if df.empty:
+        return "⚠️ No usable feedback data. Please vote on Evo or GPT in previous questions."
+
+    # Proceed with mutation & training...
+    new_config = mutate_genome(load_best_genome())
+    log_genome(new_config)
+
+    model = build_model_from_config(new_config)
+    score = train_model_on_feedback(model, df)  # this should return a score or accuracy
+    save_best_genome({**new_config, "accuracy": score})
+
+    return f"✅ Evo retrained using feedback (score={score:.4f})"
+
 
     data = []
     with open(FEEDBACK_LOG, "r", encoding="utf-8") as f: