Update app.py

app.py

@@ -11,7 +11,7 @@ model = load_model('voice_authentication_model.keras')  # Replace with your mode
 def predict_user_or_non_user(audio):
     try:
         # Load the audio file using librosa
-        y, sr = librosa.load(audio, sr=None)  # sr=None to keep the original sampling rate
+        y, sr = librosa.load(audio, sr=16000)  # sr=None to keep the original sampling rate
         
         # Optional: Normalize the audio volume (if necessary)
         y = librosa.util.normalize(y)
@@ -31,7 +31,7 @@ def predict_user_or_non_user(audio):
         
         # Apply thresholding based on the raw prediction value
         # If the model outputs a probability, try adjusting the threshold (e.g., 0.6 instead of 0.5)
-        if prediction[0] > 0.6:
+        if prediction[0] > 0.5:
             return "User"
         else:
             return "Non-User"