app.py

import streamlit as st
from transformers import pipeline 

col1, col2 = st.columns(2)

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

if x:
    pipe=pipeline("sentiment-analysis")
    t=st.text_area("Enter the Text")
    st.write(pipe(t))
if y:             
    summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", framework="tf")
    t1=st.text_area("Enter the Text for Summarization")
    st.write(summarizer(t1))