Update app.py

app.py

@@ -483,8 +483,8 @@ with gr.Blocks() as demo:
 
   #Flagging
   token_w = os.environ['token_w']
-  hf_writer = gr.HuggingFaceDatasetSaver(hf_token=token_w, dataset_name="ravistech/feedback-demo-test", private=True)
-  hf_writer.setup([selected_response, study_obj_box, study_type_box, phase_box, purpose_box, allocation_box, intervention_model_box, masking_box, conditions_box, intervention_box, location_box, removed_location_box, top_k_box, base_box, rag_box, combine_box],"ravistech/feedback-demo-test")
+  hf_writer = gr.HuggingFaceDatasetSaver(hf_token=token_w, dataset_name="ravistech/feedback-demo", private=True)
+  hf_writer.setup([selected_response, study_obj_box, study_type_box, phase_box, purpose_box, allocation_box, intervention_model_box, masking_box, conditions_box, intervention_box, location_box, removed_location_box, top_k_box, base_box, rag_box, combine_box],"ravistech/feedback-demo")
 
   flag_button.click(lambda *args: callback.flag(list(args)), [selected_response, study_obj_box, study_type_box, phase_box, purpose_box, allocation_box, intervention_model_box, masking_box, conditions_box, intervention_box, location_box, removed_location_box, top_k_box, base_box, rag_box, combine_box], None, preprocess=False)