Add Streamlit integration for general exposures display

- Introduced Streamlit's write function to output each general exposure during the calculation process, enhancing the visibility of data in the application.
- Maintained existing functionality while improving the user interface for better data presentation.

global_func/create_general_exposures.py

@@ -1,4 +1,5 @@
 import pandas as pd
+import streamlit as st
 
 def create_general_exposures(df: pd.DataFrame, entrants: list = None):
     check_cols = ['salary', 'actual_fpts', 'actual_own', 'dupes']
@@ -23,6 +24,7 @@ def create_general_exposures(df: pd.DataFrame, entrants: list = None):
         each_general_len_set = [general_contest_len, general_len_1per, general_len_5per, general_len_10per, general_len_20per]
         general_count_var = 0
         for each_general in each_general_set:
+            st.write(each_general)
             general_frame = pd.DataFrame()
             general_frame['Stat'] = each_col
             general_frame['Average'] = each_general / each_general_len_set[general_count_var]