mini change

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import pipeline
 
-print ("Load hv model...")
+print ("Load model...")
 
 # Load the pre-trained emotion classification pipeline
 model_name = "bhadresh-savani/distilbert-base-uncased-emotion"
@@ -24,4 +24,5 @@ if st.button("Classify Emotion"):
         results = emotion_classifier(input_text)
         st.subheader("Predicted Emotions:")
         for result in results:
+            st.write(f"**{result['label']}**: {result['score']:.4f}")
             st.write(f"**{result['label']}**: {result['score']:.4f}")