import gradio as gr

from transformers import pipeline


text_summry =   pipeline("summarization", model="csebuetnlp/mT5_m2o_arabic_crossSum")



def summry(input):
    output=text_summry(input)
    return output
gr.close_all()
demo=gr.Interface(fn=summry,inputs="text",outputs="text")
demo.launch()