File size: 1,093 Bytes
6dae01f | 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 | from huggingface_hub.utils import validate_repo_id, HfHubHTTPError,RepositoryNotFoundError
from huggingface_hub import HfApi
from huggingface_hub import create_repo
import os
repo_id = "grkavi0912/engine1"
repo_type = "dataset" # Corrected from "Datasets" to "dataset"
private = False
token = "HFTOKEN" # Placeholder, will be replaced by userdata.get() later
#Initialize API client
api = HfApi(token=os.getenv("HFTOKEN")) # Corrected missing parenthesis and used os.getenv as in original notebook
#step 1:check if the space exists
try:
api.repo_info(repo_id=repo_id,repo_type=repo_type)
print(f"Repo {repo_id} already exists")
except RepositoryNotFoundError:
print(f"Repo {repo_id} not found")
create_repo(repo_id=repo_id, repo_type=repo_type)
print(f"Repo {repo_id} created")
#api.upload_folder(
#folder_path="mlops/data",
#repo_id=repo_id,
#repo_type=repo_type,
#)
api.upload_folder(
folder_path="engine1/data",
repo_id=repo_id,
repo_type=repo_type,
commit_message="Initial dataset upload",
ignore_patterns=["*.py", "__pycache__/*"],
)
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