Update app.py

app.py

@@ -3,8 +3,9 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
 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](./random_noiser.py) 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 = AutoModelForSeq2SeqLM.from_pretrained("./")
+m_name = "vishnun/tinygram"
+ttokenizer = AutoTokenizer.from_pretrained(m_name)
+tmodel = AutoModelForSeq2SeqLM.from_pretrained(m_name)
 form = st.form("T5-form")
 
 examples = ["I will return it to yu once it is donr",