app.py

from einops import rearrange
import gradio as gr  
import torch  
import torch.nn.functional as F
from PIL import Image, ImageOps
from transformers import AutoModel, CLIPImageProcessor

hf_repo = "nvidia/RADIO-L"

image_processor = CLIPImageProcessor.from_pretrained(hf_repo)
model = AutoModel.from_pretrained(hf_repo, trust_remote_code=True)
model.eval().cuda()