Traceback (most recent call last):
  File "C:\Users\r\tortoise-tts-main\tortoise\read.py", line 70, in <module>
    gen = tts.tts_with_preset(text, voice_samples=voice_samples, conditioning_latents=conditioning_latents,
  File "C:\Users\r\tortoise-tts-main\tortoise\api.py", line 328, in tts_with_preset
    return self.tts(text, **settings)
  File "C:\Users\r\tortoise-tts-main\tortoise\api.py", line 583, in tts
    wav_candidates = [potentially_redact(wav_candidate, text) for wav_candidate in wav_candidates]
  File "C:\Users\r\tortoise-tts-main\tortoise\api.py", line 583, in <listcomp>
    wav_candidates = [potentially_redact(wav_candidate, text) for wav_candidate in wav_candidates]
  File "C:\Users\r\tortoise-tts-main\tortoise\api.py", line 581, in potentially_redact
    return self.aligner.redact(clip.squeeze(1), text).unsqueeze(1)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\tortoise_tts-3.0.0-py3.9.egg\tortoise\utils\wav2vec_alignment.py", line 144, in redact
    alignments = self.align(audio, bare_text, audio_sample_rate)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\tortoise_tts-3.0.0-py3.9.egg\tortoise\utils\wav2vec_alignment.py", line 62, in align
    self.model = self.model.to(self.device)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\transformers\modeling_utils.py", line 1900, in to
    return super().to(*args, **kwargs)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 1152, in to
    return self._apply(convert)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
    module._apply(fn)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
    module._apply(fn)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 825, in _apply
    param_applied = fn(param)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\nn\modules\module.py", line 1150, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
  File "C:\Users\r\miniconda3\envs\tts\lib\site-packages\torch\cuda\__init__.py", line 293, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled