m

app.py

@@ -1,9 +1,11 @@
 import streamlit as st
-from transformers import pipeline 
+from transformers import pipeline  
+
+# Load sentiment analysis pipeline
+pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis", device=1)
 
-pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis",device=1)
 # Streamlit UI
-st.title("Sentiment analyzer")
+st.title("Sentiment Analyzer")
 st.write("Enter your message below:")
 
 user_input = st.text_input("You:", "")
@@ -12,5 +14,6 @@ if st.button("Submit") and user_input:
     response = pipe(user_input)[0]
     label = response['label']
     score = response['score']
-    st.text("Label: ",label)
-    st.text("Score: ",score)
+    
+    st.write(f"**Label:** {label}")  
+    st.write(f"**Score:** {score:.4f}")