Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import pipeline
 
-unmasker = pipeline('fill-mask', model='dsfsi/zabantu-ven-120m')
+unmasker = pipeline('fill-mask', model='dsfsi/zabantu-sot-ven-170m')
 
 def fill_mask(sentences):
     results = {}
@@ -10,8 +10,7 @@ def fill_mask(sentences):
         results[sentence] = unmasked
     return results
 
-st.title("Fill Mask | Zabantu-Bantu-250m")
-st.write("This app predicts the missing word in a sentence using a BERT model.")
+st.title("Fill Mask | Zabantu-sot-ven-170m")
 
 col1, col2 = st.columns(2)