problem

[litQp]

PS C:\Users\valera\Desktop\python\fake-audio-detector> python main.py "C:\Users\valera\Desktop\python\tortoise-tts\examples\favorites\daniel_craig_training_ethics.mp3" The 'duration' characteristic is missing. The 'spectrum' characteristic is missing. The 'mean_frequency' characteristic is missing. The 'peak_frequency' characteristic is missing. The 'frequencies_std' characteristic is missing. Characteristic 'amplitudes_cum_sum' is missing. The 'mode_frequency' characteristic is missing. The 'median_frequency' characteristic is missing. The characteristic 'frequencies_q25' is missing. The characteristic 'frequencies_q75' is missing. The 'iqr' characteristic is missing. The 'freqs_skewness' characteristic is missing. The 'freqs_kurtosis' characteristic is missing. The 'spectral_bandwidth' characteristic is missing. There is no 'energy' characteristic. There is no 'rms' characteristic. The 'zcr' characteristic is missing. The 'meanfun' characteristic is missing. The 'minfun' characteristic is missing. The 'maxfun' characteristic is missing. The 'meandom' characteristic is missing. The 'mindom' characteristic is missing. The 'maxdom' characteristic is missing. The 'dfrange' characteristic is missing. The 'modindex' characteristic is missing. An error occurred with feature imfcc: unsupported operand type(s) for -: 'NoneType' and 'float' C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\site-packages\scikit_learn-1.4.2-py3.12-win-amd64.egg\sklearn\base.py:376: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeClassifier from version 1.0.1 when using version 1.4.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( Traceback (most recent call last): File "C:\Users\valera\Desktop\python\fake-audio-detector\main.py", line 9, in model = joblib.load(MODEL) ^^^^^^^^^^^^^^^^^^ File "C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\site-packages\joblib-1.4.0-py3.12.egg\joblib\numpy_pickle.py", line 658, in load obj = _unpickle(fobj, filename, mmap_mode) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\site-packages\joblib-1.4.0-py3.12.egg\joblib\numpy_pickle.py", line 577, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\pickle.py", line 1205, in load dispatchkey[0] File "C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\pickle.py", line 1530, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\valera\AppData\Local\Programs\Python\Python312\Lib\pickle.py", line 1572, in find_class import(module, level=0) ModuleNotFoundError: No module named 'dill'

[Helias]

ModuleNotFoundError: No module named 'dill'

I think you are missing some python libraries, did you run pip3 install -r requirements.txt ?