Upload upload.py with huggingface_hub
Browse files
upload.py
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from huggingface_hub import HfApi
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import os
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from pathlib import Path
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def upload_to_huggingface(token_path=None):
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"""
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Upload all files from current directory to Hugging Face repo magdyk/Qwen2-1.5B-Instruct-turbo-lora
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Args:
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token_path (str, optional): Path to file containing HF token. If None,
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will look for token in env vars or ~/.huggingface
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"""
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# Initialize Hugging Face API
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api = HfApi()
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repo_id = "magdyks/Qwen2-1.5B-Instruct-turbo-lora"
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# Get token either from file or environment
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if token_path:
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with open(token_path) as f:
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token = f.read().strip()
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else:
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token = os.getenv("HF_TOKEN") # Will also check ~/.huggingface
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if not token:
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raise ValueError("No token found. Please provide token_path or set HF_TOKEN environment variable")
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# Create repo if it doesn't exist (will raise error if repo exists)
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try:
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api.create_repo(repo_id, private=False, token=token)
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print(f"Created new repository: {repo_id}")
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except Exception as e:
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print(f"Repository {repo_id} already exists or error occurred: {e}")
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# Get all files in current directory
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current_dir = Path(".")
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files_to_upload = []
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# Walk through directory and collect files
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for path in current_dir.rglob("*"):
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if path.is_file() and not path.name.startswith("."): # Skip hidden files
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files_to_upload.append(str(path))
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# Upload each file
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for file_path in files_to_upload:
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try:
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api.upload_file(
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path_or_fileobj=file_path,
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path_in_repo=file_path,
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repo_id=repo_id,
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token=token
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)
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print(f"Uploaded: {file_path}")
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except Exception as e:
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print(f"Error uploading {file_path}: {e}")
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print("Upload complete!")
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser(description='Upload files to Hugging Face')
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parser.add_argument('--token-path', type=str, help='Path to file containing HF token')
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args = parser.parse_args()
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upload_to_huggingface(args.token_path)
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