Update app.py

app.py

@@ -1,13 +1,9 @@
+import streamlit as st
 from transformers import pipeline
 
-# Load the summarization pipeline
-summarizer = pipeline("summarization")
+pipe = pipeline("sentiment-analysis")
+text = st.text_area("enter some text:")
 
-# 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'])
+if text:
+   out = pipe(text)
+   st.json(out)