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import os
from huggingface_hub import HfApi
TOKEN = os.environ.get("HF_TOKEN")
if not TOKEN:
raise ValueError("HF_TOKEN environment variable is not set. Please provide a token.")
ORG = "lablab-ai-amd-developer-hackathon"
api = HfApi(token=TOKEN)
def get_gitignore_patterns():
patterns = [".git*"]
if os.path.exists(".gitignore"):
with open(".gitignore", "r") as f:
for line in f:
line = line.strip()
if line and not line.startswith("#"):
if line.startswith("/"):
line = line[1:]
if line.endswith("/"):
line = line + "*"
patterns.append(line)
return patterns
EXCLUDE_PATTERNS = get_gitignore_patterns()
print("1. Creando y subiendo el Space Repo (OncoAgent)...")
space_repo_id = f"{ORG}/OncoAgent"
try:
api.create_repo(repo_id=space_repo_id, repo_type="space", space_sdk="gradio", exist_ok=True)
api.upload_folder(
folder_path=".",
repo_id=space_repo_id,
repo_type="space",
ignore_patterns=EXCLUDE_PATTERNS,
delete_patterns="*"
)
print("✅ Space subido correctamente.")
except Exception as e:
print(f"❌ Error con el Space: {e}")
print("\n2. Creando y subiendo el Artículo/Dataset (OncoAgent_Official_Paper)...")
dataset_repo_id = f"{ORG}/OncoAgent_Official_Paper"
try:
api.create_repo(repo_id=dataset_repo_id, repo_type="dataset", exist_ok=True)
api.upload_file(
path_or_fileobj="./docs/OncoAgent_Official_Paper.pdf",
path_in_repo="OncoAgent_Official_Paper.pdf",
repo_id=dataset_repo_id,
repo_type="dataset"
)
print("✅ Paper subido correctamente.")
except Exception as e:
print(f"❌ Error con el Paper: {e}")
print("\n3. Creando y sincronizando el Storage Bucket (OncoAgent)...")
bucket_id = f"{ORG}/OncoAgent"
try:
api.create_bucket(bucket_id=bucket_id, exist_ok=True)
api.sync_bucket(
source=".",
dest=f"hf://buckets/{bucket_id}",
exclude=EXCLUDE_PATTERNS,
delete=True
)
print("✅ Bucket sincronizado correctamente.")
except Exception as e:
print(f"❌ Error con el Bucket: {e}")

Xet Storage Details

Size:
2.24 kB
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Xet hash:
42aeb52d43c7b0c08b5cfdffe4eef7d49585e47adeff06c0a965ca47a2b2de1d

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