Update app.py

app.py

@@ -96,12 +96,11 @@ def process_file(file_obj):
 
         # Handle NaN/Inf values before writing to Excel
         processed_data = processed_data.replace([np.inf, -np.inf], np.nan)
+        processed_data = processed_data.fillna('')
 
         # Save the processed data to a BytesIO stream using XlsxWriter
         output = BytesIO()
-        # Set the 'nan_inf_to_errors' option
-        workbook_options = {'nan_inf_to_errors': True}
-        writer = pd.ExcelWriter(output, engine='xlsxwriter', options=workbook_options)
+        writer = pd.ExcelWriter(output, engine='xlsxwriter')
         processed_data.to_excel(writer, index=False, sheet_name='Directors')
 
         # Get the xlsxwriter workbook and worksheet objects
@@ -127,6 +126,9 @@ def process_file(file_obj):
             for col_num, value in enumerate(row):
                 column_name = processed_data.columns[col_num]
                 if column_name != 'Name':
+                    # Replace NaNs or Infs with empty strings
+                    if pd.isnull(value) or value in [np.inf, -np.inf]:
+                        value = ''
                     worksheet.write(idx + 1, col_num, value)
 
         # Close the writer and save the Excel file to BytesIO