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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() |