def decode_one_audio(model, device, inputs, args):
    """Decodes audio using the specified model based on the provided network type.

    This function selects the appropriate decoding function based on the specified
    network in the arguments and processes the input audio data accordingly.

    Args:
        model (nn.Module): The trained model used for decoding.
        device (torch.device): The device (CPU or GPU) to perform computations on.
        inputs (torch.Tensor): Input audio tensor.
        args (Namespace): Contains arguments for network configuration.

    Returns:
        list: A list of decoded audio outputs for each speaker.
    """
    # Select decoding function based on the network type specified in args
    if args.network == 'FRCRN_SE_16K':
        return decode_one_audio_frcrn_se_16k(model, device, inputs, args)
    elif args.network == 'MossFormer2_SE_48K':
        return decode_one_audio_mossformer2_se_48k(model, device, inputs, args)
    elif args.network == 'MossFormerGAN_SE_16K':
        return decode_one_audio_mossformergan_se_16k(model, device, inputs, args)
    elif args.network == 'MossFormer2_SS_16K':
        return decode_one_audio_mossformer2_ss_16k(model, device, inputs, args)
    elif args.network == 'MossFormer2_SR_48K':
        return decode_one_audio_mossformer2_sr_48k(model, device, inputs, args)
    else:
        print("No network found!")  # Print error message if no valid network is specified
        return
Decodes audio using the specified model based on the provided network type.

    This function selects the appropriate decoding function based on the specified
    network in the arguments and processes the input audio data accordingly.

    Args:
        model (nn.Module): The trained model used for decoding.
        device (torch.device): The device (CPU or GPU) to perform computations on.
        inputs (torch.Tensor): Input audio tensor.
        args (Namespace): Contains arguments for network configuration.

    Returns:
        list: A list of decoded audio outputs for each speaker.
    
clearvoice/clearvoice/utils/decode.py