Update app.py

app.py

@@ -1211,6 +1211,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
                 create_pdf(row['COMPANY'], row['EMPLOYEE NAME'], row['ACCOUNT NUMBER'],directory)
             create_document = False
             zip_name = 'output_files.zip'
+            print(zip_name)
             zip_files_in_folder(directory, zip_name)
             create_file_HF(zip_name,directory, False)
             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."
@@ -1267,6 +1268,9 @@ def create_pdf(cname,ename,account_number, directory):
     document_created = True
     with open(output_file_name, "wb+") as output:
         output.write(filled.read())
+    # Get the absolute path
+    file_path = os.path.abspath(output_file_name)
+    print(f"The file was created at: {file_path}")
     create_file_HF(output_file_name, directory,document_created)
 
     
@@ -1274,7 +1278,8 @@ def create_pdf(cname,ename,account_number, directory):
 
 def zip_files_in_folder(folder_path, zip_name):
     # Create a Zip file
-    folder_path="./"
+    #folder_path="./"
+    print(folder_path)
     with zipfile.ZipFile(zip_name, 'w', zipfile.ZIP_DEFLATED) as zipf:
         # Walk through the folder
         for root, dirs, files in os.walk(folder_path):