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

try:
    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="openbmb/MiniCPM4-0.5B", trust_remote_code=True)
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
except Exception as e:
    exception_file = 'openbmb_MiniCPM4-0.5B_0_exception.txt'
    with open(exception_file, 'w') as f:
        import traceback
        traceback.print_exc(file=f)
    # Upload exception log to HuggingFace
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj=exception_file,
        repo_id='model-metadata/model-code-exception',
        path_in_repo='17-06-25/openbmb_MiniCPM4-0.5B_0_exception.txt',
        repo_type='dataset',
    )