app.py

from flask import Flask, send_file, request
from flask_cors import CORS
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
import IPython.display as ipd

app = Flask(__name__)
CORS(app)

models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
    "facebook/tts_transformer-es-css10",
    arg_overrides={"vocoder": "hifigan", "fp16": False}
)
model = models[0]
TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
generator = task.build_generator([model], cfg)

@app.route("/")
def get_audio():
    user = request.args.get('name')
    text = f"Hola {user}, si estás leyendo este mail es porque desde buenosaires consideramos que eres una de esas personas visionarias, capaces de mirar más allá, por eso queremos compartir contigo un hallazgo que puede cambiar el futuro de las enfermedades degenerativas."

    sample = TTSHubInterface.get_model_input(task, text)
    wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
    print(f"Duration: {len(wav) / rate:.2f} seconds")
    print(f"Text: {text}")
    sound = ipd.Audio(wav, rate=rate)
    with open("../../audio_file.wav", "wb") as file:
        file.write(sound.data)

    return send_file("../../audio_file.wav", mimetype="audio/wav")

if __name__ == "__main__":
    app.run(port=7860, debug=True)