Update app.py

app.py

@@ -1,8 +1,8 @@
 import streamlit as st
 from transformers import T5ForConditionalGeneration, AutoTokenizer
 
-st.title("SimpleGrammarlyT5")
-st.markdown('SimpleGrammarlyT5 is a fine-tuned version of **pre-trained t5-small model** modelled on randomly selected 50000 sentences modified by imputing random noises/errors and trained using transformers. It not only looks for _spelling errors but also looks for the semantics_ in the sentence and suggest other possible words for the incorrect word.')
+st.title("SpellCorrectorT5")
+st.markdown('SpellCorrectorT5 is a fine-tuned version of **pre-trained t5-small model** modelled on randomly selected 50000 sentences modified by imputing random noises/errors and trained using transformers. It not only looks for _spelling errors but also looks for the semantics_ in the sentence and suggest other possible words for the incorrect word.')
 ttokenizer = AutoTokenizer.from_pretrained("./")
 tmodel = T5ForConditionalGeneration.from_pretrained('./')
 
@@ -19,7 +19,7 @@ if submit:
     do_sample=True, 
     max_length=50,
     top_p=0.98, 
-    num_return_sequences=3
+    num_return_sequences=2
   )
   
   st.subheader("Suggested sentences: ")