Update app.py

app.py

@@ -99,9 +99,9 @@ try:
       model_name = st.sidebar.selectbox(label='Select Model to Apply',  options=['ajitrajasekharan/biomedical', 'bert-base-cased','bert-large-cased','microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext','allenai/scibert_scivocab_cased'], index=0,  key = "model_name")
       option = st.selectbox(
      'Choose any of these sentences or type any text below',
-           ('', "[MASK] who lives in New York and works for XCorp suffers from Parkinson's", "Lou Gehrig who lives in [MASK] and works for XCorp suffers from Parkinson's","'Lou Gehrig who lives in New York and works for [MASK] suffers from Parkinson's'","'Lou Gehrig who lives in New York and works for XCorp suffers from [MASK]'"))
+           ('', "[MASK] who lives in New York and works for XCorp suffers from Parkinson's", "Lou Gehrig who lives in [MASK] and works for XCorp suffers from Parkinson's","'Lou Gehrig who lives in New York and works for [MASK] suffers from Parkinson's'","'Lou Gehrig who lives in New York and works for XCorp suffers from [MASK]'","[MASK] who lives in New York and works for XCorp suffers from Lou Gehrig's","Parkinson who lives in [MASK] and works for XCorp suffers from Lou Gehrig's","Parkinson who lives in New York and works for [MASK] suffers from Lou Gehrig's","Parkinson who lives in New York and works for XCorp suffers from [MASK]","Lou Gehrig","Parkinson","Lou Gehrigh's is a [MASK]","Parkinson is a [MASK]","New York is a [MASK]","New York","XCorp","XCorp is a [MASK]","acute lymphoblastic leukemia","acute lymphoblastic leukemia is a [MASK]":))
       bert_tokenizer, bert_model  = load_bert_model(model_name)
-      default_text = "Imatinib is used to [MASK] nsclc"
+      default_text = "Imatinib is used to [MASK] acute lymphoblastic leukemia"
       input_text = st.text_area(
                   label="Enter text below",
                   value=default_text,