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Update app.py
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import streamlit as st
from transformers import pipeline
classifier = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
def main():
#Token Sample
st.title("Summarize Classification ⋆·˚ ༘ *")
with st.form("text_field"):
text = st.text_area('enter some text:')
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Done!")
if clicked:
results = classifier([text])
st.json(results)
if __name__ == "__main__":
main()