from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "./trained_model/gpt"
model = AutoModelForCausalLM.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)

def generate_response(prompt, max_length=100):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(inputs.input_ids, max_length=max_length, num_return_sequences=1, do_sample=True)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

prompt = "Jakie są prawa pracownika zgodnie z Kodeksem pracy?"
response = generate_response(prompt)
print(response)