Update app.py

app.py

@@ -1549,8 +1549,7 @@ with tab_predict:
     num_cols = meta["schema"]["numeric"]
     cat_cols = meta["schema"]["categorical"]
 
-    st.write("DEBUG: feature columns as loaded from meta:")
-    st.write(feature_cols)
+    
 
     # Map normalized name -> actual model column name
     FEATURE_LOOKUP = {norm_col(c): c for c in feature_cols}