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b4eca84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import gradio as gr
import torch
import numpy as np
from transformers import VitsModel, AutoTokenizer
# Configuración del modelo
model_id = "facebook/mms-tts-yua"
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(f"Cargando modelo en: {device}")
model = VitsModel.from_pretrained(model_id).to(device)
tokenizer = AutoTokenizer.from_pretrained(model_id)
def generate_tts(text):
if not text.strip():
return None
inputs = tokenizer(text, return_tensors="pt").to(device)
with torch.no_grad():
output = model(**inputs)
waveform = output.waveform[0].cpu().numpy()
sample_rate = model.config.sampling_rate
return (sample_rate, waveform)
# Interfaz de Gradio
demo = gr.Interface(
fn=generate_tts,
inputs=gr.Textbox(label="Escribe en Maya Yucateco", placeholder="Bix yanilech..."),
outputs=gr.Audio(label="Audio Generado"),
title="Maya Yucateco TTS (Facebook MMS)",
description="Servidor de síntesis de voz para el idioma Maya Yucateco."
)
if __name__ == "__main__":
demo.launch() |