import gradio as gr
from model import ConvVAE

model = ConvVAE.from_pretrained(
    model_id="BioMike/classical_portrait_vae",
    cache_dir="./model_cache",
    map_location="cpu",
    strict=True
).eval()

from vae import vae
from morphing import morphing

demo = gr.TabbedInterface([vae, morphing],
                          ["Image to Portrait", "Image to Image (Morphing)"],
                          title="CLassical Portraits VAE",
                          theme=gr.themes.Base())

demo.queue()
demo.launch(debug=True, share=True)