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import streamlit as st
import joblib,torch
import time
device = 'cuda' if torch.cuda.is_available() else 'cpu'
loaded_tokenizer = joblib.load("finalized_tokenizer.sav")
loaded_model = joblib.load("finalized_model.sav")
st.title('Text Summarization using Pegasus')
txt = st.text_area('Enter Text to summarize here', '')
if st.button('Summarize'):
with st.spinner('Summarizing..'):
batch = loaded_tokenizer(txt, truncation=True, padding='longest', return_tensors="pt").to(device)
translated = loaded_model.generate(**batch)
tgt_text = loaded_tokenizer.batch_decode(translated, skip_special_tokens=True)
st.success('Summarized Text')
st.subheader(tgt_text[0])
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