app.py

#import streamlit as st

#x = st.slider('Select a value')
#st.write(x, 'squared is', x * x)
from transformers import pipeline, AutoModelForMaskedLM, AutoTokenizer

modelname = "./models/latin_bert/"
model = AutoModelForMaskedLM.from_pretrained(modelname)
# Creare un pipeline di riempimento maschere
tokenizer = AutoTokenizer.from_pretrained(modelname)

fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer)


# Testare il modello
frase = "Gallia est omnis divisa in [MASK] tres."
output = fill_mask(frase)
for risultato in output:
    print(risultato["sequence"])