Update app.py

app.py

@@ -1,9 +1,13 @@
-import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline("sentiment-analysis")
-text = st.text_area("enter some text:")
+# Load the summarization pipeline
+summarizer = pipeline("summarization")
 
-if text:
-   out = pipe(text)
-   st.json(out)
+# Text to summarize
+text = "The quick brown fox jumps over the lazy dog. The lazy dog sleeps under the tree. The quick brown fox is a very fast animal."
+
+# Summarize the text
+summary = summarizer(text, max_length=50, min_length=10)
+
+# Print the summary
+print(summary[0]['summary'])