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# -*- coding: utf-8 -*-
"""
Created on Fri Nov 26 16:16:37 2021
@author: PC
"""
import streamlit as st
from transformers import PegasusForConditionalGeneration, PegasusTokenizer
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
device = 'cuda' if torch.cuda.is_available() else 'cpu'
model_name_xsum = 'google/pegasus-xsum'
tokenizer = AutoTokenizer.from_pretrained(model_name_xsum)
model = PegasusForConditionalGeneration.from_pretrained(model_name_xsum).to(device)
@st.cache
def pegasus_abs_summarize(src_text):
batch = tokenizer(src_text, truncation=True, padding='longest', return_tensors="pt").to(device)
translated = model.generate(**batch)
target_text = tokenizer.batch_decode(translated, skip_special_tokens =True)
return target_text
st.text_input("Input:", key="input")
abs_output = pegasus_abs_summarize(st.session_state.input)
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