class StreamingT2V:
    def __init__(self, device="cuda"):
        """
        Initializes the StreamingT2V model.

        Args:
            device (str, optional): The device to run the model on. Defaults to "cuda".
        """

        from videogen_hub.pipelines.streamingt2v.streamingt2v_pipeline import pipeline

        self.pipeline = pipeline

    def infer_one_video(
        self,
        prompt: str = None,
        size: list = [320, 512],
        seconds: int = 2,
        fps: int = 8,
        seed: int = 42,
    ):
        """
        Generates a single video based on the provided prompt and parameters.

        Args:
            prompt (str, optional): The text prompt to generate the video from. Defaults to None.
            size (list, optional): The size of the video as [height, width]. Defaults to [320, 512].
            seconds (int, optional): The duration of the video in seconds. Defaults to 2.
            fps (int, optional): The frames per second of the video. Defaults to 8.
            seed (int, optional): The seed for random number generation. Defaults to 42.

        Returns:
            torch.Tensor: The generated video as a tensor.
        """

        return self.pipeline(prompt, size, seconds, fps, seed)
