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='https://redmindtechnologies.com/RedMindGPT/ouput.zip' download> here.</a>.There are total of {total_rows} rows."
+    docstatus = f"Download the complete dataset <a href='https://redmindtechnologies.com/RedMindGPT/ouput.xlsx' download> here.</a>.There are total of {total_rows} rows."
     if total_rows < 4000:
 
         # 1. Limit to first 10 rows
@@ -1235,7 +1235,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
                 # Create a PDF for each row
                 create_pdf(row['COMPANY'], row['EMPLOYEE NAME'], row['ACCOUNT NUMBER'])
             create_document = False
-            docstatus += f" {total_rows} documents are created successfully."
+            docstatus = f"Please download the complete dataset here: <a href="https://redmindtechnologies.com/RedMindGPT/output.zip" download>Download</a>. {total_rows} documents are created successfully."
         print(sample_table)
         # 5. Return the summary and downloadable link
         #return f"""