"""Text generation wrapper."""
import torch
from typing import List, Dict
from .model_loader import load_model


def generate_text(messages: List[Dict[str, str]], model_name: str, max_new_tokens: int = 80):
    model, tokenizer = load_model(model_name)
    inputs = tokenizer.apply_chat_template(
        messages, tokenize=True, return_tensors="pt",
        add_generation_prompt=True, return_dict=True,
    )
    dev = next(model.parameters()).device
    inputs = {k: v.to(dev) for k, v in inputs.items()}
    with torch.no_grad():
        outputs = model.generate(
            **inputs, max_new_tokens=max_new_tokens,
            do_sample=False, pad_token_id=tokenizer.pad_token_id,
        )
    gen = outputs[0][inputs["input_ids"].shape[1]:]
    return tokenizer.decode(gen, skip_special_tokens=True).strip()