#!/usr/bin/env python3
"""
Example usage of Braille256-v1 model.
"""

import torch
from braille256_model import Braille256Model, Braille256Config
from braille256_tokenizer import Braille256Tokenizer


def main():
    # Load model and tokenizer
    model_path = "."  # or path to downloaded model
    
    config = Braille256Config.from_pretrained(model_path)
    model = Braille256Model.from_pretrained(model_path, config=config)
    tokenizer = Braille256Tokenizer.from_pretrained(model_path)
    
    model.eval()
    print(f"Model loaded: {sum(p.numel() for p in model.parameters()):,} parameters")
    
    # Example: Generate from Braille prompt
    prompts = [
        ("⠞⠓⠑", "the"),
        ("⠁⠝⠙", "and"),
        ("⠋⠕⠗", "for"),
    ]
    
    print("\nGeneration examples:")
    print("-" * 50)
    
    for braille_prompt, english in prompts:
        tokens = tokenizer.encode(braille_prompt, add_special_tokens=True)
        input_ids = torch.tensor([tokens])
        
        with torch.no_grad():
            output = model.generate(input_ids, max_length=50, temperature=0.7)
        
        generated = tokenizer.decode(output[0].tolist())
        print(f"Prompt: {english} ({braille_prompt})")
        print(f"Generated: {generated[:60]}...")
        print()


if __name__ == "__main__":
    main()