Update cleaned_df column names in load_contest_file.py for clarity and consistency

- Modified the column names in cleaned_df from 'UTIL' to 'UTIL1', 'UTIL2', 'UTIL3', 'UTIL4', and 'UTIL5' to enhance clarity and avoid confusion in data representation.
- Maintained existing functionality while improving the organization and readability of contest data processing.

global_func/load_contest_file.py

@@ -134,7 +134,7 @@ def load_contest_file(upload, type, helper = None, sport = None):
                 cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
                 entry_counts = cleaned_df['BaseName'].value_counts()
                 cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)
-                cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'CPT', 'UTIL', 'UTIL', 'UTIL', 'UTIL', 'UTIL']]
+                cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'CPT', 'UTIL1', 'UTIL2', 'UTIL3', 'UTIL4', 'UTIL5']]
                 st.table(cleaned_df.head(10))
             
             print('Made it through check_lineups')