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_area("Enter the Text")
    if t:
       st.write(pipe(t))
if y:             
    t1=st.text_area("Enter the Text for Summarization")
    if t1:
        st.write(summarizer(t1))