upload_videos_toHF.py

import os
from huggingface_hub import HfApi

# 1) 환경변수/설정
HF_TOKEN = os.environ["HF_TOKEN"]  # 반드시 Write 권한 토큰이어야 함
# whoami()["name"] 결과(또는 조직명)로 맞춰 쓰기
OWNER = os.getenv("HF_OWNER", "sgtlim")         # 필요시: export HF_OWNER=your_name_or_org
REPO_ID = f"{OWNER}/videoeval_results"          # 업로드할 데이터셋 리포

# 2) 로컬 파일 경로 (네가 준 경로 그대로)
WALLPUSHUPS_REAL = "/projectnb/ivc-ml/xthomas/SHARED/video_evals/ucf101_10classes/WallPushups/v_WallPushups_g01_c01.mp4"
WALLPUSHUPS_BAD  = "/projectnb/ivc-ml/xthomas/SHARED/video_evals/YOUTUBE_DATA/WallPushups__EE329FD74B.mp4"

# 3) HF 내 저장 경로 (app.py에서 이 경로로 다운로드할 거임)
WALLPUSHUPS_REAL_IN_REPO = "examples/WallPushUps_real.mp4"
WALLPUSHUPS_BAD_IN_REPO  = "examples/WallPushUps_bad.mp4"

api = HfApi()

# A) 데이터셋 리포 생성(이미 있으면 패스)
api.create_repo(
    repo_id=REPO_ID,
    repo_type="dataset",
    private=True,
    exist_ok=True,
    token=HF_TOKEN,
)

# B) 업로드
api.upload_file(
    path_or_fileobj=WALLPUSHUPS_REAL,
    path_in_repo=WALLPUSHUPS_REAL_IN_REPO,
    repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN,
    commit_message="add WallPushUps real/good example"
)

api.upload_file(
    path_or_fileobj=WALLPUSHUPS_BAD,
    path_in_repo=WALLPUSHUPS_BAD_IN_REPO,
    repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN,
    commit_message="add WallPushUps generated/bad example"
)

# C) 확인용 출력 (app.py에서 쓸 URL/파일명)
print("✅ Uploaded to dataset:", REPO_ID)
print("   -", WALLPUSHUPS_REAL_IN_REPO)
print("   -", WALLPUSHUPS_BAD_IN_REPO)
print("\nUse these in app.py hf_hub_download(filename=...):")
print("   filename='examples/WallPushUps_real.mp4'")
print("   filename='examples/WallPushUps_bad.mp4'")
print("\nDirect URLs (repo public일 때만 브라우저 재생):")
print(f"   https://huggingface.co/datasets/{REPO_ID}/resolve/main/examples/WallPushUps_real.mp4")
print(f"   https://huggingface.co/datasets/{REPO_ID}/resolve/main/examples/WallPushUps_bad.mp4")