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import streamlit as st | |
from transformers import pipeline | |
pipeline = pipeline(task="summarization", model="lidiya/bart-large-xsum-samsum") | |
st.title("Résumé de conversation avec BART") | |
txt = """Hannah: Hey, do you have Betty's number? | |
Amanda: Lemme check | |
Amanda: Sorry, can't find it. | |
Amanda: Ask Larry | |
Amanda: He called her last time we were at the park together | |
Hannah: I don't know him well | |
Amanda: Don't be shy, he's very nice | |
Hannah: If you say so.. | |
Hannah: I'd rather you texted him | |
Amanda: Just text him 🙂 | |
Hannah: Urgh.. Alright | |
Hannah: Bye | |
Amanda: Bye bye | |
""" | |
col1, col2 = st.columns(2) | |
summary = pipeline(txt) | |
col1.header("Texte original") | |
col1.subheader(txt) | |
col2.header("Texte résumé") | |
col2.subheader(summary) | |