app.py

from transformers import pipeline
import gradio as gr
pipe_ar = pipeline("question-answering",model='ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA') 
pipe_en = pipeline("question-answering",model='deepset/roberta-base-squad2')

def q_a(lang,text,question):
  if lang == 'Arabic':
    myinput = {
      'question': question,
      'context':text
  }
    return pipe_ar(myinput)['answer']

  elif lang == 'English':
    myinput = {
    'question': question,
    'context':text
    }
    return pipe_en(myinput)['answer']




demo = gr.Interface(
    fn= q_a,
    inputs=[gr.Radio(['Arabic', 'English'], label='Select Language',value= 'Arabic'), 
            gr.Textbox(label = 'enter text',lines=10),
            gr.Textbox(label = 'enter question')],
    outputs=gr.Textbox(label = 'answer')
)
demo.launch()