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import gradio as gr
from transformers import AutoProcessor, BarkModel
import scipy
import torch
processor = AutoProcessor.from_pretrained("suno/bark-small")
model = BarkModel.from_pretrained("suno/bark-small")
def greet(text):
inputs = processor(
text=[text],
return_tensors="pt",
)
speech_values = model.generate(**inputs, do_sample=True, num_beams=5)
scipy.io.wavfile.write("tmp.wav", rate=24000, data=speech_values.cpu().numpy().squeeze())
return open("tmp.wav", "rb").read()
iface = gr.Interface(fn=greet, inputs="text", outputs="audio")
iface.launch() |