Update app.py

app.py

@@ -1109,14 +1109,14 @@ def handle_large_dataset(df):
         # 3. Save the full dataset to a downloadable file
         # Get the current working directory
         current_directory = os.getcwd()
-        print(f"current_directory:"{current_directory})
+        print(f"current_directory:{current_directory}")
         # Define the filename
         filename = 'output_data.xlsx'
         
         # Create the complete path by joining the current directory with the filename
         file_path = os.path.join(current_directory, filename)
 
-        print(f"file path:"{file_path})
+        print(f"file path:{file_path}")
         df.to_excel(file_path, index=False)
         save_file_to_hostinger(file_path)
         # 4. Create a summary and table of the first 10 rows for display