# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "torch",
#     "torchvision",
#     "transformers",
#     "accelerate",
#     "peft",
# ]
# ///

try:
    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="facebook/MobileLLM-Pro", trust_remote_code=True)
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    with open('facebook_MobileLLM-Pro_0.txt', 'w', encoding='utf-8') as f:
        f.write('Everything was good in facebook_MobileLLM-Pro_0.txt')
except Exception as e:
    with open('facebook_MobileLLM-Pro_0.txt', 'w', encoding='utf-8') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='facebook_MobileLLM-Pro_0.txt',
        repo_id='model-metadata/code_execution_files',
        path_in_repo='facebook_MobileLLM-Pro_0.txt',
        repo_type='dataset',
    )