Update app.py

app.py

@@ -104,10 +104,8 @@ def convert_schedule(file_path, direction):
         # For display, include index as a column
         display_df = result.reset_index().rename(columns={'index': first_col_name})
 
-        # 6. Save to Excel for download with better error handling
-        # Use temporary directory for file creation
-        temp_dir = tempfile.gettempdir()
-        output_filename = os.path.join(temp_dir, f"converted_{uuid.uuid4().hex}.xlsx")
+        # 6. Save to Excel for download - use current directory for Gradio compatibility
+        output_filename = f"converted_{uuid.uuid4().hex}.xlsx"
         
         # Clean the DataFrame before saving
         result_clean = result.copy()
@@ -119,22 +117,21 @@ def convert_schedule(file_path, direction):
         for col in result_clean.columns:
             result_clean[col] = result_clean[col].astype(str)
         
-        # Save with additional parameters for better compatibility
+        # Save with better error handling
         try:
-            with pd.ExcelWriter(output_filename, engine='openpyxl', mode='w') as writer:
-                result_clean.to_excel(writer, sheet_name='Schedule', index=True, header=True)
+            # Use simple to_excel with minimal options for better compatibility
+            result_clean.to_excel(output_filename, index=True, engine='openpyxl')
             
-            # Verify file was created successfully
-            if not os.path.exists(output_filename):
-                raise FileNotFoundError("Excel file was not created successfully")
+            # Return the filename directly for Gradio to handle
+            if os.path.exists(output_filename):
+                print(f"File created successfully: {output_filename}")
+            else:
+                raise FileNotFoundError("File creation failed")
                 
         except Exception as save_error:
-            # If Excel save fails, try alternative approach
             print(f"Excel save error: {save_error}")
-            # Try saving as CSV as fallback
-            csv_filename = os.path.join(temp_dir, f"converted_{uuid.uuid4().hex}.csv")
-            result_clean.to_csv(csv_filename, index=True)
-            output_filename = csv_filename
+            # Return None if save fails
+            return display_df, None
 
         # Return both DataFrame and download path
         return display_df, output_filename