Update app.py

app.py

@@ -20,7 +20,7 @@ def predict_intent(text):
         logits = outputs.logits
         predicted_class = torch.argmax(F.softmax(logits, dim=1)).item()
     intent_name = [k for k, v in intent_labels.items() if v == predicted_class][0]
-    return f"Intent: {intent_name}
+    return intent_name
 
 # Gradio Interface
 demo = gr.Interface(