changes2

app.py

@@ -45,14 +45,15 @@ def predict_emotion(audio_file):
     predicted_class = np.argmax(predictions[0])
     predicted_emotion = label_encoder.inverse_transform([predicted_class])[0]
 
-    # Output confidences as floats (0-100), not strings
+    # Output confidences as floats (0-100), rounded to 2 decimals
     emotion_probabilities = {
-        label_encoder.inverse_transform([i])[0]: float(pred * 100)
+        label_encoder.inverse_transform([i])[0]: round(float(pred) * 100, 2)
         for i, pred in enumerate(predictions[0])
     }
 
     return predicted_emotion, emotion_probabilities
 
+
 # Gradio interface
 iface = gr.Interface(
     fn=predict_emotion,