Update app.py

app.py

@@ -315,7 +315,8 @@ interventions_place_holder = f"""Example:
 
 prefilled_value = f"""Study Objectives The purpose of this study is to find out if the combination of docetaxel and capecitabine can shrink the size of breast tumors and preserve the breast. Conditions: Breast Cancer Intervention / Treatment: DRUG: Docetaxel, DRUG: Capecitabine Location: United States Study Design and Phases Study Type: INTERVENTIONAL Phase: PHASE2 Primary Purpose: TREATMENT Allocation: RANDOMIZED Interventional Model: PARALLEL Masking: NONE"""
 
-hf_writer = gr.HuggingFaceDatasetSaver(hf_token=token_w, dataset_name="ravistech/feedback-demo", private=True)
+hf_writer = gr.HuggingFaceDatasetSaver(hf_token=token_w, dataset_name="nttwt1597/criteria-feedback-demo", private=True)
+
 top_k_box = gr.Slider(
           label="Amount of reference paper",
           value=5,
@@ -396,13 +397,7 @@ demo = gr.Interface(
   title='Eligibility Criteria Generation',
   # description='',
   allow_flagging="manual",
-  flagging_options=[
-              "Response 1",
-              "Response 2",
-              "Response 3",
-              "All responses are equally good",
-              "Neither response is satisfactory"
-              ],
+  flagging_options=["appropriate","inappropriate","incorrect",],
   flagging_callback=hf_writer,
 )