check data sset name

app.py

@@ -45,7 +45,7 @@ if args['examples'] is not None:
 else:
     chosen_note = None
 
-if chosen_note == "radiology_dataset":  
+if chosen_note == "radiology_eval_dataset":  
     text_input = pd.read_csv("./eval_35.csv",  converters={'entities': ast.literal_eval})
     text_input = text_input.to_dict('records')
 
@@ -60,7 +60,7 @@ if len(model_names) > 0:
 ##################
 ###  Text area ###
 ##################
-if chosen_note != "radiology_dataset":
+if chosen_note != "radiology_eval_dataset":
     text_input = st.text_area("Type notes in the box below", 
 	                  value=args['examples'][chosen_note] if args['examples'] is not None else '')
 st.markdown("---")

st_config.yaml

@@ -2,7 +2,7 @@
 model_dir: ""
 default_models: ['en_Radiology_ner_bc5cdr_md','en_ner_bc5cdr_md']
 examples:
-    radiology_dataset: "eval_35.csv"
+    radiology_eval_dataset: "eval_35.csv"
     clinical note A:
               "A 74 year old woman with history of hypertension and heart disease  who had \
               been discharged 10 days before knee prosthetic surgery  was admitted with 4 day \