Update app.py

app.py

@@ -1,3 +1,14 @@
+
+import os
+
+# ✅ Check if trained_model/config.json exists, if not, initialize the model
+if not os.path.exists("trained_model/config.json"):
+    from init_model import initialize_and_save_model
+    print("⚙️ Reinitializing EvoTransformer model...")
+    initialize_and_save_model()
+
+
+
 import gradio as gr
 from inference import generate_response
 from logger import log_user_feedback