Update app.py

app.py

@@ -1181,6 +1181,8 @@ 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)
+        df.to_excel('/persistent/output_data.xlsx', index=False)
+        
         files = os.listdir(current_folder)
         print(f"Files in persistent storage: {files}")
         print(f"The current folder is: {current_folder}")
@@ -1207,12 +1209,12 @@ def handle_large_dataset(df, create_document,isDataFrame):
         login(token=os.getenv("HF_TOKEN"))
         from huggingface_hub import HfApi
         api = HfApi()
-        api.upload_file(path_or_fileobj=file_path, repo_id=repo_id, repo_type= "space", path_in_repo="data/output.xlsx")
+        #api.upload_file(path_or_fileobj=file_path, repo_id=repo_id, repo_type= "space", path_in_repo="static/output.xlsx")
         
         from huggingface_hub import hf_hub_url
 
         print(hf_hub_url(
-            repo_id="Redmind/NewageNXTGPT", filename="data/output.xlsx"
+            repo_id="Redmind/NewageNXTGPT", filename="static/output.xlsx"
             ))
 
         #print(f"Download the file here: {download_url}")
@@ -1255,10 +1257,10 @@ def create_pdf(name,id):
         output.write(filled.read())
 
     repo_id = "Redmind/NewageNXTGPT"
-    file_output=f"data/{output_file_name}"
+    file_output=f"static/{output_file_name}"
     from huggingface_hub import HfApi
     api = HfApi()
-    api.upload_file(path_or_fileobj=output_file_name, repo_id=repo_id, repo_type= "space", path_in_repo=file_output)
+    #api.upload_file(path_or_fileobj=output_file_name, repo_id=repo_id, repo_type= "space", path_in_repo=file_output)
     return f"{output_file_name} is created successfully."