import gradio as gr
from transformers import pipeline

print('starat')
nlp_qa = pipeline(
    'question-answering',
    model='mrm8488/bert-italian-finedtuned-squadv1-it-alfa',
    tokenizer='mrm8488/bert-italian-finedtuned-squadv1-it-alfa'
)
print('end')

def start(question, context):
    response = nlp_qa({
        'question': question,
        'context': context
    })
    return response['answer'], response['score']

face = gr.Interface(
    fn=start, 
    inputs=[gr.inputs.Textbox(lines=1, placeholder="Question Here… "), gr.inputs.Textbox(lines=10, placeholder="Context Here… ")], 
    outputs=["text", "number"]
)
face.launch(share=True)