Update app.py

app.py

@@ -1,11 +1,24 @@
 import streamlit as st
+# from transformers import pipeline
+
+
+# pipe = pipeline("text-classification", model="Beehzod/smart_sentiment_analysis")
+
+# text = st.text_area('enter text: ')
+
+# if text:
+#     out = pipe(text)
+#     st.json(out)
+
 from transformers import pipeline
 
 
-pipe = pipeline("text-classification", model="Beehzod/smart_sentiment_analysis")
+sentiment_pipeline = pipeline("sentiment-analysis", model="Beehzod/smart_sentiment_analysis")
+
 
 text = st.text_area('enter text: ')
+results = sentiment_pipeline(text)
 
-if text:
-    out = pipe(text)
+for result in results:
+    #print(f"Label: {result['label']}, Score: {result['score']:.4f}")
     st.json(out)