import os import gradio as gr import torch from PIL import Image from model import MangaColorizer from utils import pil_to_torch, torch_to_pil def load_html_template(): html_dir = os.path.join(os.path.dirname(__file__), "templates") index_html_path = os.path.join(html_dir, "index.html") if os.path.exists(index_html_path): with open(index_html_path, "r") as html_file: index_html = html_file.read() return index_html else: print(f"Error: {index_html_path} not found.") def load_model(): model = MangaColorizer() models_dir = os.path.join(os.path.dirname(__file__), '..', 'model') model_file = os.path.join(models_dir, 'best_model_checkpoint.pth') if os.path.exists(model_file): with open(model_file, "rb") as f: checkpoint = torch.load(f, map_location="cpu") model.load_state_dict(checkpoint) else: print(f"Error: {model_file} not found.") return model model = load_model() def colorize_image(image): global model img = Image.fromarray(image).convert("L") output = model(pil_to_torch(img)).detach().cpu() output_image = torch_to_pil(output) return output_image def main(): index_html = load_html_template() with gr.Blocks() as demo: gr.HTML(index_html) gr.Interface(colorize_image, inputs=["image"], outputs=["image"], allow_flagging="never") gr.HTML("""

Checkout the Github Repo

""") demo.launch() if __name__ == "__main__": main()