from transformers import BertTokenizer
import os
import io
import torch
from transformers import pipeline
from transformers import AutoModel

acc_token='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'

get_completion = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
def summarize(input):
    output = get_completion(input)
    return output[0]['summary_text']

import gradio as gr
def summarize(input):
    output = get_completion(input)
    return output[0]['summary_text']
    
gr.close_all()


demo = gr.Interface(fn=summarize, inputs="text", outputs="text")
demo.launch(share=True)