Update app.py

app.py

@@ -3,6 +3,7 @@ import openpyxl  # ensure XLSX engine is available
 import gradio as gr
 import uuid
 import os
+import tempfile
 
 # 7-Day Schedule Converter with explicit iteration and header fill and download support
 
@@ -104,7 +105,9 @@ def convert_schedule(file_path, direction):
         display_df = result.reset_index().rename(columns={'index': first_col_name})
 
         # 6. Save to Excel for download with better error handling
-        output_filename = f"converted_{uuid.uuid4().hex}.xlsx"
+        # Use temporary directory for file creation
+        temp_dir = tempfile.gettempdir()
+        output_filename = os.path.join(temp_dir, f"converted_{uuid.uuid4().hex}.xlsx")
         
         # Clean the DataFrame before saving
         result_clean = result.copy()
@@ -117,8 +120,21 @@ def convert_schedule(file_path, direction):
             result_clean[col] = result_clean[col].astype(str)
         
         # Save with additional parameters for better compatibility
-        with pd.ExcelWriter(output_filename, engine='openpyxl', mode='w') as writer:
-            result_clean.to_excel(writer, sheet_name='Schedule', index=True, header=True)
+        try:
+            with pd.ExcelWriter(output_filename, engine='openpyxl', mode='w') as writer:
+                result_clean.to_excel(writer, sheet_name='Schedule', index=True, header=True)
+            
+            # Verify file was created successfully
+            if not os.path.exists(output_filename):
+                raise FileNotFoundError("Excel file was not created successfully")
+                
+        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 both DataFrame and download path
         return display_df, output_filename