app.py

import torch
import os

import gradio as gr

from huggingface_hub import hf_hub_download


file_path = hf_hub_download("lfolle/DeepNAPSIModel", " dummy_model.pt",
                            use_auth_token=os.environ['DeepNAPSIModel'])
print(file_path)
# model = torch.load(file_path)

def predict(data):
    return model(data)

iface = gr.Interface(
    predict,
    title="DeepNAPSI Application",
    inputs=gr.Image(),
    outputs="numpy",
    description=""
)
iface.launch()