Update app.py

app.py

@@ -1194,7 +1194,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
         formatted_date_time = now.strftime("%Y-%m-%d %H:%M")
         print(formatted_date_time)
         directory = user_name + "/" + formatted_date_time
-        create_file_HF(file_path, directory)
+        create_file_HF(file_path, directory,False)
         print("File created in the home path")
        
         #save_file_to_hostinger('output_data.xlsx')
@@ -1221,14 +1221,16 @@ def handle_large_dataset(df, create_document,isDataFrame):
     else:
         return "Your query returns a large dataset which is not supported in the current version. Please try a different query."
 
-def create_file_HF(file_path,directory):
+def create_file_HF(file_path,directory,document_created = False):
  
     
     
     repo_id = "Redmind/NewageNXTGPT_Repo_trial" 
     
     
-    
+    if(document_created):
+        directory = directory + "\" + document
+        document_created = False
     #check if direcotry exists
     dir_exists_flag = directory_exists(repo_id, directory, token)
     if not dir_exists_flag:
@@ -1257,11 +1259,11 @@ def create_pdf(cname,ename,account_number, directory):
             
         },
     )
-    output_file_name =  f"documents\\{ename}_{cname}.pdf"
-    
+    output_file_name =  f"{ename}_{cname}.pdf"
+    document_created = True
     with open(output_file_name, "wb+") as output:
         output.write(filled.read())
-    create_file_HF(output_file_name, directory)
+    create_file_HF(output_file_name, directory,document_created)
 
     
     return f"{output_file_name} is created successfully."