Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import pipeline
 
-unmasker = pipeline('fill-mask', model='dsfsi/zabantu-nso-120m'')
+unmasker = pipeline('fill-mask', model='dsfsi/zabantu-nso-120m')
 
 def fill_mask(sentences):
     results = {}
@@ -13,8 +13,8 @@ def fill_mask(sentences):
 def replace_mask(sentence, predicted_word):
     return sentence.replace("<mask>", predicted_word)
 
-st.title("Fill Mask | Zabantu-nso-120m'")
-st.write("This app predicts the missing word in a sentence using a Zabantu-nso-120m' model.")
+st.title("Fill Mask | Zabantu-nso-120m")
+st.write("This app predicts the missing word in a sentence using a Zabantu-nso-120m model.")
 
 sample_sentences = ["mopresidente wa <mask> wa afrika-borwa",   
 "bašomedi ba polase ya dinamune ya zebediela citrus ba hlomile magato a <mask> malebana le go se sepetšwe botse ga dilo ka polaseng eo."