import gradio as gr
from transformers import pipeline
# Use a suitable model for Question Answering, e.g., "bert-large-uncased-whole-word-masking-finetuned-squad"
qa_pipeline = pipeline('question-answering', model='bert-large-uncased-whole-word-masking-finetuned-squad')
def answer_question(question, context):
    result = qa_pipeline(question=question, context=context)
    return result['answer']
interface = gr.Interface(
    fn=answer_question,
    inputs=["text", "textarea"],
    outputs="text",
    title="Question Answering System",
    description="Type in your question and context to get an answer."
)
interface.launch()