from transformers import AutoProcessor, BarkModel
processor = AutoProcessor.from_pretrained("suno/bark")
model = BarkModel.from_pretrained("suno/bark")
voice_preset = "v2/en_speaker_6"
inputs = processor("Hello, my dog is cute", voice_preset=voice_preset)
audio_array = model.generate(**inputs)
audio_array = audio_array.cpu().numpy().squeeze()

Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. 
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