[Abandoned] Get the good type to pass to a transcriber model

[slain]

Hello,
I just tested, it gives me another error :

FileNotFoundError: [Errno 2] No such file or directory: 'Test-transcription.mp3'
Traceback:
File "/home/ild/.local/lib/python3.12/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 542, in _run_script
    exec(code, module.__dict__)
File "/home/ild/trans-nemo.py", line 28, in <module>
    predicted_text = asr_model.transcribe([audio_source.name])
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/.local/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/nemo/collections/asr/models/ctc_models.py", line 201, in transcribe
    for test_batch in tqdm(temporary_datalayer, desc="Transcribing", disable=not verbose):
File "/home/ild/miniconda3/lib/python3.12/site-packages/tqdm/std.py", line 1178, in __iter__
    for obj in iterable:
File "/home/ild/.local/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 631, in __next__
    data = self._next_data()
           ^^^^^^^^^^^^^^^^^
File "/home/ild/.local/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 675, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/.local/lib/python3.12/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
            ~~~~~~~~~~~~^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/nemo/collections/asr/data/audio_to_text.py", line 477, in __getitem__
    features = self.featurizer.process(
               ^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/nemo/collections/asr/parts/preprocessing/features.py", line 186, in process
    audio = AudioSegment.from_file(
            ^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/nemo/collections/asr/parts/preprocessing/segment.py", line 259, in from_file
    samples = Audio.from_file(audio_file)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/pydub/audio_segment.py", line 651, in from_file
    file, close_file = _fd_or_path_or_tempfile(file, 'rb', tempfile=False)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ild/miniconda3/lib/python3.12/site-packages/pydub/utils.py", line 60, in _fd_or_path_or_tempfile
    fd = open(fd, mode=mode)
         ^^^^^^^^^^^^^^^^^^^

Maybe I should give it the Path to the audio file?
Something like :

predicted_text = asr_model.transcribe([Path(audio_source.name)])