app.py

import streamlit as st
from transformers import pipeline

classifier = pipeline(task="translation", model="t5-base")
def main():
    st.title("Translation")
    st.caption('This Translator can be use with 4 language : English, French, Romanian, German')
    st.caption('You can use this from with this model "translate -Current Language- to -Target Language- : -Your text-')

    with st.form("text_field"):
        text = st.text_area('enter some text:')
        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Submit text")
        if clicked:
          results = classifier([text])
          st.json(results)

if __name__ == "__main__":
    main()