app.py

import streamlit as st
from transformers import pipeline

# Load the question answering pipeline
question_answerer = pipeline("question-answering", model='distilbert-base-cased-distilled-squad')

# Streamlit app
def main():
    st.title("Question Answering Chat App")

    # Text input for context
    context = st.text_area("Enter the context:", """
    Extractive Question Answering is the task of extracting an answer from a text given a question.
    """)

    # Text input for question
    question = st.text_input("Enter your question:")

    # Answer the question
    if st.button("Get Answer"):
        result = question_answerer(question=question, context=context)
        st.subheader("Answer:")
        st.write(result['answer'])
        st.subheader("Details:")
        st.write(f"Score: {round(result['score'], 4)}")
        st.write(f"Start: {result['start']}")
        st.write(f"End: {result['end']}")

if __name__ == "__main__":
    main()