from typing import Dict, List, Any
from transformers import pipeline


class EndpointHandler:
    def __init__(self, path=""):
        self.model = pipeline("text-to-speech", "suno/bark")

    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
         data args:
              inputs (:obj: `str`)
              date (:obj: `str`)
        Return:
              A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
        text_prompt = data.pop("inputs", data)

        # run normal prediction
        speech_array = self.model(text_prompt,forward_params={"do_sample": True})
        return speech_array