Update app.py

app.py

@@ -1170,7 +1170,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
     #docstatus = f"Download the complete dataset <a href='https://huggingface.co/spaces/Redmind/NewageNXTGPT/resolve/main/assets/output.xlsx' download> here.</a>.There are total of {total_rows} rows."
     
     if total_rows < 4000:
-        docstatus = "There are total of {total_rows} rows. "
+        
        
         # 1. Drop the original first column
         if len(df.columns) > 1:
@@ -1210,7 +1210,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
         directory = user_name + "/" + formatted_date_time
         create_file_HF(file_path, directory,False)
         dataset_link = get_download_link(directory,file_path)
-        docstatus = docstatus + f"""Download the complete dataset <a href="{dataset_link}" download> here.</a>."""
+        docstatus = f"""These are the sample data. Download the complete dataset <a href="{dataset_link}" download> here.</a>."""
         print("File created in the home path")
        
         #save_file_to_hostinger('output_data.xlsx')
@@ -1234,7 +1234,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
             create_file_HF(zip_file_name,directory, False)
             link = get_download_link(directory,zip_file_name)
             print(f"downloadable link: {link}")
-            docstatus = f"""Please download the complete dataset here: <a href="{link}" download>Download</a>. {total_rows} documents are created successfully."""
+            docstatus = f"""Please download the complete dataset here: <a href="{dataset_link}" download> here.</a>. Please click to download generated <a href="{link}" download>PDFs</a>. {total_rows} documents are created successfully."""
         print(sample_table)
         # 5. Return the summary and downloadable link
         #return f"""