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In /tts_to_audio api, if USE_CACHE=False, it will use default file_name_or_path="out.wav" for XTTS.process_tts_to_file.
/tts_to_audio
file_name_or_path="out.wav"
XTTS.process_tts_to_file
However it get error if concurrent api calls happen.
torchaudio.save(output_file, torch.tensor(out["wav"]).unsqueeze(0), 24000)
The text was updated successfully, but these errors were encountered:
I also get an error when processing 2 or more requests at the same time, I'm trying to fix it.
Sorry, something went wrong.
Is there a fix for this?
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In
/tts_to_audio
api, if USE_CACHE=False, it will use defaultfile_name_or_path="out.wav"
forXTTS.process_tts_to_file
.However it get error if concurrent api calls happen.
torchaudio.save(output_file, torch.tensor(out["wav"]).unsqueeze(0), 24000)
The text was updated successfully, but these errors were encountered: