Update app.py

app.py

@@ -1,12 +1,12 @@
 import streamlit as st
 from transformers import T5ForConditionalGeneration, AutoTokenizer
 
-st.title("NeuralSpellChecker-Lite")
-st.markdown('NeuralSpellChecker-Lite is a fine-tuned version of **pre-trained t5-small model** modelled on randomly selected 30000 sentences modified by imputing random noises 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("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.')
 ttokenizer = AutoTokenizer.from_pretrained("./")
 tmodel = T5ForConditionalGeneration.from_pretrained('./')
 
-form = st.form("NSC form")
+form = st.form("T5-form")
 input_text = form.text_input(label='Enter a random sentence')
 submit = form.form_submit_button("Submit")