import streamlit as st
from transformers import pipeline 
summarizer = pipeline("summarization")
# pipe=pipeline("sentiment-analysis")
# col1, col2 = st.columns(2)

# with col1:
#     x=st.button("Sentiment Analysis")
# with col2:    
#     y=st.button("Text Summarization")

# if x:
#     t=st.text_input("Enter the Text")
#     st.write(pipe(t))
# if y:             
t1=st.text_input("Enter the Text for Summarization")
st.write(summarizer(t1))