app.py

from transformers import BarkModel

model = BarkModel.from_pretrained("suno/bark-small")
import torch

device = "cuda:0" if torch.cuda.is_available() else "cpu"
model = model.to(device)
from transformers import AutoProcessor

processor = AutoProcessor.from_pretrained("suno/bark")
# prepare the inputs
text_prompt = "Let's try generating speech, with Bark, a text-to-speech model"
inputs = processor(text_prompt)

# generate speech
speech_output = model.generate(**inputs.to(device))
from IPython.display import Audio

sampling_rate = model.generation_config.sample_rate
Audio(speech_output[0].cpu().numpy(), rate=sampling_rate)