from transformers import VitsModel, AutoTokenizer
import torch
import numpy as np
from scipy.io.wavfile import write

model = VitsModel.from_pretrained("../arabic-tts")
tokenizer = AutoTokenizer.from_pretrained("../arabic-tts")
text = "يوفر مجتمع البناء قروضا عقارية وقروض وعقارية"
inputs = tokenizer(text, return_tensors="pt")

with torch.no_grad():
    output = model(**inputs).waveform

output = output.squeeze()
output_np = output.cpu().numpy()
output_int16 = (output_np * 32767).astype(np.int16)
write("arabic.wav", rate=model.config.sampling_rate, data=output_int16)