from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ontario/qwen3-0.6b-awesome-prompts")
tokenizer = AutoTokenizer.from_pretrained("Ontario/qwen3-0.6b-awesome-prompts")

def generate_prompt(role):
    messages = [{"role": "user", "content": f"Generate a prompt for: {role}"}]
    text = tokenizer.apply_chat_template(
        messages,
        tokenize=False,
        add_generation_prompt=True
    )
    inputs = tokenizer(text, return_tensors="pt").to(model.device)
    outputs = model.generate(**inputs, max_new_tokens=200)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generate_prompt("Data Scientist"))