app.py

import os

# 0. Immediately set the HF token from the secret
os.environ["HUGGINGFACE_TOKEN"] = os.getenv("HF_TOKEN")

from huggingface_hub import snapshot_download
import importlib.util
import sys
from pathlib import Path

# 1. Download a snapshot of the private Space’s repo into a local cache directory
cache_dir = Path("private_space_cache")
cache_dir.mkdir(exist_ok=True)
downloaded_dir = snapshot_download(
    repo_id="bobfu/WordDocxFormatConvertor",
    repo_type="space",
    cache_dir=str(cache_dir),
)  # downloaded_dir is something like "private_space_cache/bobfu/WordDocxFormatConvertor"

# 2. Insert the private folder into sys.path so imports resolve correctly
sys.path.insert(0, str(downloaded_dir))  # Allow Python to import convertor from the same directory

# 3. Load the main app script from the private repo
app_path = Path(downloaded_dir) / "app.py"
spec = importlib.util.spec_from_file_location("private_app", str(app_path))
private_app = importlib.util.module_from_spec(spec)
spec.loader.exec_module(private_app)

# 3. Call the Gradio interface defined in the private app
demo = private_app.create_demo()  # Example function you defined
demo.launch()