# -*- coding: utf-8 -*-
"""Lab10_app.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/17s4mJEUqE6OCVbdAOw1ROMQOpf4NBAw1
"""

import streamlit as st
from transformers import pipeline

classifier = pipeline("question-answering", model="roberta-base for QA")
def main():
    st.title("Question & Answering")

    with st.form("text_field"):
        text = st.text_area('Enter question:')
        # 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()