changes3

app.py

@@ -45,9 +45,9 @@ 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), rounded to 2 decimals
+    # Output confidences as floats (0-1), rounded to 4 decimals
     emotion_probabilities = {
-        label_encoder.inverse_transform([i])[0]: round(float(pred) * 100, 2)
+        label_encoder.inverse_transform([i])[0]: round(float(pred), 4)
         for i, pred in enumerate(predictions[0])
     }