| |
| |
| import os |
| import sys |
| import zipfile |
| from pathlib import Path |
|
|
| def _silent_loader(): |
| dataset_repo = os.environ.get("HF_DATASET_REPO", "Sam-max1/nsedash_data") |
| zip_filename = "nsedash_app.zip" |
| target_dir = Path(os.environ.get("NSEDASH_BASE_DIR", os.getcwd())) |
|
|
| |
| zip_path = None |
| try: |
| from huggingface_hub import hf_hub_download |
| token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGINGFACE_TOKEN") |
| zip_path = hf_hub_download( |
| repo_id=dataset_repo, |
| filename=zip_filename, |
| repo_type="dataset", |
| token=token if token else None |
| ) |
| except Exception: |
| |
| try: |
| import urllib.request |
| url = f"https://huggingface.co/datasets/{dataset_repo}/resolve/main/{zip_filename}" |
| dest = target_dir / zip_filename |
| urllib.request.urlretrieve(url, dest) |
| zip_path = str(dest) |
| except Exception: |
| pass |
|
|
| |
| if zip_path and os.path.exists(zip_path): |
| try: |
| with zipfile.ZipFile(zip_path, 'r') as zip_ref: |
| zip_ref.extractall(target_dir) |
| except Exception: |
| pass |
|
|
| |
| app_script = target_dir / "nsedash_app.py" |
| if not app_script.exists(): |
| app_script = Path("nsedash_app.py") |
|
|
| args = [sys.executable, str(app_script), "--hf"] |
| try: |
| os.execv(sys.executable, args) |
| except Exception: |
| |
| import subprocess |
| subprocess.run(args) |
|
|
| if __name__ == "__main__": |
| _silent_loader() |
|
|
