Update app.py

app.py

@@ -10,7 +10,16 @@ def predict_sentiment(text):
         return "Please enter some text", 0.0
 
     result = sentiment_pipeline(text)[0]
-    label = "😊 Positive" if result['label'] == 'LABEL_1' else "😞 Negative"
+    
+    # Fixed label interpretation
+    if result['label'] == 'POSITIVE':
+        label = "😊 Positive"
+    elif result['label'] == 'NEGATIVE':
+        label = "😞 Negative"
+    else:
+        # Fallback for LABEL_0/LABEL_1
+        label = "😊 Positive" if result['label'] == 'LABEL_1' else "😞 Negative"
+    
     return label, round(result['score'], 3)
 
 iface = gr.Interface(