# import os
# import requests
# import gradio as gr
# from huggingface_hub import upload_file, HfFolder

# REPO_ID = "AthuKawaleLogituit/Faceswap"
# TOKEN = os.environ.get("HF_TOKEN")
# LOCAL_DIR = "models"

# urls = [
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/inswapper_128.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/reswapper_128.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/reswapper_256.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/GFPGANv1.4.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/GPEN-BFR-512.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/restoreformer_plus_plus.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/xseg.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/rd64-uni-refined.pth",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/CodeFormerv0.1.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/deoldify_artistic.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/deoldify_stable.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/isnet-general-use.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/real_esrgan_x4.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/real_esrgan_x2.onnx",
#     "https://huggingface.co/countfloyd/deepfake/resolve/main/lsdir_x4.onnx"
# ]

# def download_file(url, filepath):
#     print(f"Downloading {url}")
#     with requests.get(url, stream=True, allow_redirects=True) as r:
#         r.raise_for_status()
#         with open(filepath, 'wb') as f:
#             for chunk in r.iter_content(chunk_size=8192):
#                 if chunk:
#                     f.write(chunk)

# def download_and_upload():
#     os.makedirs(LOCAL_DIR, exist_ok=True)
#     uploaded_files = []

#     for url in urls:
#         filename = os.path.basename(url)
#         local_path = os.path.join(LOCAL_DIR, filename)

#         if not os.path.exists(local_path):
#             download_file(url, local_path)

#         # Upload to repo
#         upload_file(
#             path_or_fileobj=local_path,
#             path_in_repo=filename,
#             repo_id=REPO_ID,
#             repo_type="model",
#             token=TOKEN
#         )
#         uploaded_files.append(filename)

#     return f"✅ Uploaded files: {uploaded_files}"

# gr.Interface(fn=download_and_upload, inputs=[], outputs="text", title="Upload Faceswap Models").launch(share=True, debug=True)