added score interval based display for postive results

app.py

@@ -46,7 +46,7 @@ if st.button("Analyze"):
             sentiment_pipeline = load_model(selected_model)
             result = sentiment_pipeline(text)
             st.write(f"Sentiment: {result[0]['label']} (confidence: {result[0]['score']:.2f})")
-            if result[0]['label'] == 'POSITIVE':
+            if result[0]['label'] in ['POSITIVE', 'LABEL_1'] and result[0]['score']> 0.9:
                 st.balloons()
             elif result[0]['label'] in ['NEGATIVE', 'LABEL_0'] and result[0]['score']> 0.9:
                 st.error("Hater detected.")