Update app.py

app.py

@@ -1148,7 +1148,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
     print(f"Total rows: {total_rows}")
     
     #docstatus = f"Download the complete dataset <a href='https://huggingface.co/spaces/Redmind/NewageNXTGPT/blob/main/assets/output.xlsx' download> here.</a>.There are total of {total_rows} rows."
-    docstatus = f"Download the complete dataset <a href='/data/output_data.xlsx'' download> here.</a>.There are total of {total_rows} rows."
+    docstatus = f"Download the complete dataset <a href='https://redmindtechnologies.com/RedMindGPT/ouput.zip' download> here.</a>.There are total of {total_rows} rows."
     if total_rows < 4000:
 
         # 1. Limit to first 10 rows
@@ -1184,9 +1184,9 @@ def handle_large_dataset(df, create_document,isDataFrame):
         
         file_path = os.path.join(current_folder, 'output_data.xlsx')
         df.to_excel(file_path, index=False)
-        if not os.path.exists("/data/"):
-            os.makedirs("/data/")
-        df.to_excel('/data/output_data.xlsx', index=False)
+        #if not os.path.exists("/data/"):
+            #os.makedirs("/data/")
+        #df.to_excel('/data/output_data.xlsx', index=False)
         
         files = os.listdir(current_folder)
         print(f"Files in persistent storage: {files}")