app.py

import streamlit as st
from transformers import pipeline

# Load the QnA pipeline with a chosen model
qa_pipeline = pipeline("question-answering", model = 'bert-large-uncased-whole-word-masking-finetuned-squad')

# Streamlit UI
st.title("Question and Answer System")
st.write("Enter a context and ask a question to get an answer.")

# Input from the user
context = st.text_area("Context:", "")
question = st.text_input("Your question:", "")

# Generate a response when the button is clicked
if st.button("Get Answer"):
    if context.strip() and question.strip():
        result = qa_pipeline(question=question, context=context)
        st.write("Answer:")
        st.write(result['answer'])
    else:
        st.write("Please enter both context and a question.")