app.py

import gradio as gr
from huggingface_hub import HfApi
import os

hf_api = HfApi()
CURRENT_MODEL_PATH = "./current_model"

def func(hf_token, repo, revision, target_repo):
    print('download the desired model locally ...')
    hf_api.snapshot_download(
        repo_id=repo,
        revision=revision,
        token=hf_token,
        local_dir=CURRENT_MODEL_PATH,
    )
    os.listdir(CURRENT_MODEL_PATH)
    
    return f"Using {hf_token}, the content of {repo}/{revision} has been copied to {target_repo}!" 

iface = gr.Interface(fn=func, inputs=["text","text","text"], outputs="text")
iface.launch()