from typing import  Dict
import numpy as np

class PreTrainedPipeline():
    def __init__(self, path=""):
        # IMPLEMENT_THIS
        # Preload all the elements you are going to need at inference.
        # For instance your model, processors, tokenizer that might be needed.
        # This function is only called once, so do all the heavy processing I/O here"""
        self.sampling_rate = # IMPLEMENT THIS
        
        raise NotImplementedError(
            "Please implement PreTrainedPipeline __init__ function"
        )

    def __call__(self, inputs: np.array)-> Dict[str, str]:
        """
        Args:
            inputs (:obj:`np.array`):
                The raw waveform of audio received. By default at 16KHz.
        Return:
            A :obj:`dict`:. The object return should be liked {"text": "XXX"} containing
            the detected text from the input audio.
        """
        # IMPLEMENT_THIS
        raise NotImplementedError(
            "Please implement PreTrainedPipeline __call__ function"
        )