Update app.py

app.py

@@ -59,7 +59,7 @@ def process_audio(input_data, segment_duration=10):
         features_avg = features_avg.reshape(1, -1)
         decision_score = classifier.decision_function(features_avg)
         decision_score_scaled = scaler.transform(decision_score.reshape(-1, 1)).flatten()
-        pred = 1 if decision_value >= eer_threshold else 0
+        pred = 1 if decision_score_scaled >= eer_threshold else 0
         if pred == 1:
             confidence_percentage = ((decision_score_scaled - eer_threshold) / (1 - eer_threshold)) * 100
         else: