from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
from io import StringIO 

tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn")
model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn")

import gradio as gr

def predict():
  pass

description = "upload pdf file"
title = "Text Summarization from a pdf."

iface = gr.Interface(
    
    fn =predict,
    inputs = [
              gr.inputs.File()],
              
    outputs = [
        gr.outputs.Carousel(['text']),
            ],
    description=description,
    title = title, allow_screenshot=False)

iface.launch(share = True,enable_queue=True, show_error =True)