import streamlit as st
from transformers import pipeline

#model = AutoModelForSeq2SeqLM.from_pretrained("t5-base")
#tokenizer = AutoTokenizer.from_pretrained("t5-base")
classifier = pipeline('text-generation', model="dbmdz/german-gpt2",
                 tokenizer="dbmdz/german-gpt2")

def main():
    st.title("Text translation")

    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")
        if clicked:
          results = classifier([text])
          st.json(results)

if __name__ == "__main__":
    main()