Enhance load_contest_file function to improve error handling and user feedback

- Refactored the load_contest_file function to include a try-except block for better error management when loading files.
- Added a specific error message for unsupported file types, ensuring users are informed about acceptable formats (CSV or Excel).
- Streamlined the logic for loading DataFrames directly, enhancing usability for users working with different data formats.

global_func/load_contest_file.py

@@ -5,15 +5,17 @@ def load_contest_file(upload, sport):
     pos_values = ['P', 'C', '1B', '2B', '3B', 'SS', 'OF']
     if upload is not None:
         try:
-            if upload.name.endswith('.csv'):
-                raw_df = pd.read_csv(upload)
-            elif upload.name.endswith(('.xls', '.xlsx')):
-                raw_df = pd.read_excel(upload)
-            elif isinstance(upload, pd.DataFrame):
+            try:
+
+                if upload.name.endswith('.csv'):
+                    raw_df = pd.read_csv(upload)
+                elif upload.name.endswith(('.xls', '.xlsx')):
+                    raw_df = pd.read_excel(upload)
+                else:
+                    st.error('Please upload either a CSV or Excel file')
+                    return None
+            except:
                 raw_df = upload
-            else:
-                st.error('Please upload either a CSV or Excel file')
-                return None
             
             df = raw_df[['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Roster Position', '%Drafted', 'FPTS']]
             df = df.rename(columns={'Roster Position': 'Pos', '%Drafted': 'Own'})