app.py

import streamlit as st
from transformers import pipeline

# SENTIMENT ANALYSIS
# sentimizer = pipeline('sentiment-analysis')
# text = st.text_area('enter some text:')

# if text:
#     out = sentimizer(text)
#     st.json(out)

# TEXT SUMMARIZATION
summarizer = pipeline("summarization", model="stevhliu/my_awesome_billsum_model")
text = st.text_area('Enter a long body of text to summarize:')

if text:
    # st.json(summarizer(text))
    out = summarizer(text)
    st.write(out[0]['summary_text'])