import torch
from torchvision.utils import save_image
from PIL import Image
import io

class ThumbnailGenerator:
    def __init__(self, model_path="pytorch_model.bin"):
        self.model = torch.load(model_path, map_location=torch.device("cpu"))
        self.model.eval()

    def generate(self, seed=None):
        z = torch.randn(1, 512) if seed is None else torch.tensor(seed).float().unsqueeze(0)
        with torch.no_grad():
            thumbnail = self.model(z)
        return thumbnail.squeeze(0)