import torch
from huggingface_hub import hf_hub_download

from .bisenet import BiSeNet
from .parsenet import ParseNet

REPO_ID = "leonelhs/facexlib"

def init_parsing_model(model_name='bisenet', half=False, device='cuda'):
    if model_name == 'bisenet':
        model = BiSeNet(num_class=19)
        model_path = hf_hub_download(repo_id=REPO_ID, filename='parsing_bisenet.pth')
    elif model_name == 'parsenet':
        model = ParseNet(in_size=512, out_size=512, parsing_ch=19)
        model_path = hf_hub_download(repo_id=REPO_ID, filename='parsing_parsenet.pth')
    else:
        raise NotImplementedError(f'{model_name} is not implemented.')

    load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
    model.load_state_dict(load_net, strict=True)
    model.eval()
    model = model.to(device)
    return model