import streamlit as st
from transformers import AutoTokenizer

st.title('Text Summarization')
text = st.text_input

tokenizer = AutoTokenizer.from_pretrained("madanagrawal/summarization_model")
inputs = tokenizer(text, return_tensors="pt").input_ids

from transformers import AutoModelForSeq2SeqLM

model = AutoModelForSeq2SeqLM.from_pretrained("madanagrawal/summarizsation_model")
outputs = model.generate(inputs, max_new_tokens=100, do_sample=False)

tokenizer.decode(outputs[0], skip_special_tokens=True)