fix: Handle potential errors during LLM model loading

frontend/app.py

@@ -110,6 +110,9 @@ if 'model_llm' not in st.session_state:
     except FileNotFoundError:
         st.error("LLM model file not found. Please ensure 'logistic_regression_model.pkl' is in the 'frontend' directory.")
         st.session_state.model_llm = None
+    except Exception as e:
+        st.error(f"An error occurred while loading the LLM model: {e}")
+        st.session_state.model_llm = None
 
     # Load datasets (only for reference, not used for training)
     dataset_1 = pd.read_csv("Symptoms_Detection/training_data.csv")