File size: 2,052 Bytes
9619394 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | #!/usr/bin/env python3
"""
Upload Kai-0 to HuggingFace Hub
==============================
Usage:
export HF_TOKEN=your_token_here
python3 upload.py --repo-id belweave/kai-0
Or login first:
huggingface-cli login
python3 upload.py --repo-id belweave/kai-0
"""
import argparse
import os
from pathlib import Path
from huggingface_hub import HfApi, create_repo
def upload_model(repo_id: str, local_dir: Path, private: bool = False):
"""Upload the model to HuggingFace Hub."""
api = HfApi()
# Check auth
token = os.environ.get("HF_TOKEN")
if not token:
try:
api.whoami()
print("✅ Already authenticated with HuggingFace")
except Exception:
print("❌ Not authenticated. Run one of these:")
print(" export HF_TOKEN=your_token")
print(" OR")
print(" huggingface-cli login")
return
# Create repo if it doesn't exist
try:
create_repo(repo_id, repo_type="model", private=private, exist_ok=True)
print(f"✅ Repo ready: https://huggingface.co/{repo_id}")
except Exception as e:
print(f"⚠️ Repo creation issue: {e}")
return
# Upload files
print(f"🔌 Uploading files from {local_dir}...")
api.upload_folder(
folder_path=str(local_dir),
repo_id=repo_id,
repo_type="model",
)
print(f"\n🎉 Upload complete!")
print(f" URL: https://huggingface.co/{repo_id}")
print(f" Clone: git clone https://huggingface.co/{repo_id}")
def main():
parser = argparse.ArgumentParser(description="Upload Kai-0 to HuggingFace Hub")
parser.add_argument("--repo-id", default="belweave/kai-0", help="HF Hub repo ID")
parser.add_argument("--dir", default=".", help="Local directory to upload")
parser.add_argument("--private", action="store_true", help="Make repo private")
args = parser.parse_args()
upload_model(args.repo_id, Path(args.dir), private=args.private)
if __name__ == "__main__":
main()
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