import gradio as gr

# Load the question-answering pipeline using the deepset/roberta-base-squad2 model
qa_model = pipeline("question-answering", model="deepset/roberta-base-squad2")


# Define a function to get the model's response
def get_response(context, question):
    answer = qa_model(question=question, context=context)["answer"]
    return answer

# Define the interface components
context_textbox = gr.Textbox(lines=10, label="Context")
question_textbox = gr.Textbox(label="Question")
output_label = gr.Label(label="Response: ")

interface = gr.Interface(
    fn=get_response,
    inputs=[context_textbox, question_textbox],
    outputs=output_label,
    title="QA System",
    description="Ask any questions.",
)

# Launch the interface
interface.launch(share=True)