Update app.py

app.py

@@ -81,7 +81,7 @@ def main(params):
     if np.isnan(avg_prediction):
         raise ValueError("Average prediction is NaN, indicating an issue with the predictions.")
     
-    result = 'Real' if avg_prediction > 0.86 else 'Deepfake'
+    result = 'Deepfake' if avg_prediction > 0.86 else 'Real'
     confidence = float(avg_prediction) * 100  # Convert numpy float to Python float and scale
     print(result,float("{:.2f}".format(confidence))*100)
     # Prepare the result as a JSON response