Update app.py

app.py

@@ -91,7 +91,7 @@ if questions_df is None or questions_df.empty:
 if not all(col in questions_df.columns for col in ["Skill", "Question", "Answer"]):
     logger.error("questions_df is missing required columns. Exiting.")
     exit(1)
-logger.info(f"questions_df loaded with {len(questions_df)} rows. Skills available: {questions_df['Skill'].unique().tolist()}")
+logger.info(f"questions_df loaded with {len(questions_df)} rows. Skills available: {list(questions_df['Skill'].unique())}")
 
 # Load or Initialize Models
 if os.path.exists(UNIVERSAL_MODEL_PATH):