# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "numpy",
#     "einops",
#     "torch",
#     "transformers",
#     "datasets",
#     "accelerate",
#     "timm",
# ]
# ///

try:
    prompt = "Give me a brief explanation of gravity in simple terms."
    messages = [
        {"role": "system", "content": "/no_think"},
        {"role": "user", "content": prompt}
    ]
    
    text = tokenizer.apply_chat_template(
        messages,
        tokenize=False,
        add_generation_prompt=True,
    )
    
    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
    
    # Generate the output
    generated_ids = model.generate(**model_inputs, max_new_tokens=32768)
    
    # Get and decode the output
    output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]
    print(tokenizer.decode(output_ids, skip_special_tokens=True))
    with open('HuggingFaceTB_SmolLM3-3B_5.txt', 'w') as f:
        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_5.txt')
except Exception as e:
    with open('HuggingFaceTB_SmolLM3-3B_5.txt', 'w') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='HuggingFaceTB_SmolLM3-3B_5.txt',
        repo_id='model-metadata/custom_code_execution_files',
        path_in_repo='HuggingFaceTB_SmolLM3-3B_5.txt',
        repo_type='dataset',
    )