Update tasks/audio.py

tasks/audio.py

@@ -17,21 +17,21 @@ DESCRIPTION = "Random Baseline"
 ROUTE = "/audio"
 
 
+from sklearn.metrics import accuracy_score
 
 @router.post(ROUTE, tags=["Audio Task"],
              description=DESCRIPTION)
 async def evaluate_audio(request: AudioEvaluationRequest):
-from sklearn.metrics import accuracy_score
-
-# Map string predictions to numeric labels
-numeric_predictions = map_predictions_to_labels(predictions)
-
-# Extract true labels (already numeric)
-true_labels = test_dataset["label"]
 
-# Calculate accuracy
-accuracy = accuracy_score(true_labels, numeric_predictions)
-print("Accuracy:", accuracy)
+    # Map string predictions to numeric labels
+    numeric_predictions = map_predictions_to_labels(predictions)
+    
+    # Extract true labels (already numeric)
+    true_labels = test_dataset["label"]
+    
+    # Calculate accuracy
+    accuracy = accuracy_score(true_labels, numeric_predictions)
+    print("Accuracy:", accuracy)
 
     # Get space info
     username, space_url = get_space_info()