Add Streamlit output for general exposures dataframe in create_general_exposures function

- Implemented a Streamlit write function to display the general exposures dataframe after calculations, improving data visibility for users.
- Ensured existing functionality remains intact while enhancing the presentation of statistical data in the application.

global_func/create_general_exposures.py

@@ -29,6 +29,7 @@ def create_general_exposures(df: pd.DataFrame, entrants: list = None):
             general_frame['Stat'] = each_col
             general_frame['Average'] = each_general / each_general_len_set[general_count_var]
             general_frame = general_frame[['Stat', 'Average']]
+            st.write(general_frame)
             general_frame = general_frame.rename(columns={'Average': f'Average {each_set_name[general_count_var]}'})
             if len(general_exposures) == 0:
                 general_exposures = general_frame