Add table display for contest file preview in app.py

- Introduced a table view to display the first 10 rows of the contest file when the helper is not present, enhancing user visibility of the contest data.
- Maintained existing functionality while improving the user experience during contest file loading operations.

app.py

@@ -99,6 +99,7 @@ with tab1:
             if 'Contest_file_helper' in st.session_state:
                 st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['pos_df'], st.session_state['entry_list'], check_lineups = load_contest_file(st.session_state['Contest_file'], st.session_state['Contest_file_helper'], sport_select)
             else:
+                st.table(st.session_state['Contest_file'].head(10))
                 st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['pos_df'], st.session_state['entry_list'], check_lineups = load_contest_file(st.session_state['Contest_file'], None, sport_select)
             st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
             st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)

global_func/load_contest_file.py

@@ -71,7 +71,6 @@ def load_contest_file(upload, helper = None, sport = None):
             
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'Lineup']]
-            print(cleaned_df.head(10))
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
             check_lineups = cleaned_df.copy()
             if sport == 'MLB':