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

try:
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-flash-reasoning", trust_remote_code=True, torch_dtype="auto"),
    with open('microsoft_Phi-4-mini-flash-reasoning_1.txt', 'w') as f:
        f.write('Everything was good in microsoft_Phi-4-mini-flash-reasoning_1.txt')
except Exception as e:
    with open('microsoft_Phi-4-mini-flash-reasoning_1.txt', 'w') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='microsoft_Phi-4-mini-flash-reasoning_1.txt',
        repo_id='model-metadata/custom_code_execution_files',
        path_in_repo='microsoft_Phi-4-mini-flash-reasoning_1.txt',
        repo_type='dataset',
    )