feat: update to text summarisation

app.py

@@ -1,9 +1,9 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline(task="sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
-text = st.text_area("what is the sentiment score?")
+pipe = pipeline(task="summarization", model="facebook/bart-large-cnn")
+text = st.text_area("Summarise the following")
 
 if text:
     out = pipe(text)
-    st.json(out)
+    st.write(out)