Update app.py

app.py

@@ -64,6 +64,10 @@ def process_audio(input_data, segment_duration=10):
             confidence_percentage = ((decision_score_scaled - eer_threshold) / (1 - eer_threshold)) * 100
         else:
             confidence_percentage = ((eer_threshold - decision_score_scaled) / eer_threshold) * 100
+
+        #with the above logic I got some scores out of the range [0-100] for the confidence score on some unseen data due to the logic, brute fix :)
+        confidence_percentage = max(0, min(confidence_percentage, 100))
+        
         segment_predictions.append(pred)
         line = f"Segment {idx + 1}: {'Real' if pred == 1 else 'Fake'} (Confidence: {round(confidence_percentage, 2)}%)"
         output_lines.append(line)