"""
BarVox Audio Processing API - Model Loader Module
VERSION 2.2: Includes Wav2Vec2 CTC and base models
"""

import logging
import torch

logger = logging.getLogger(__name__)

_MODELS = {}

def load_models():
    """Load all required models into memory."""
    global _MODELS
    
    logger.info("Loading models...")
    
    # HuBERT CTC
    from transformers import Wav2Vec2Processor, HubertForCTC, HubertModel
    _MODELS['hubert_processor'] = Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft")
    _MODELS['hubert_model'] = HubertForCTC.from_pretrained("facebook/hubert-large-ls960-ft")
    _MODELS['hubert_base_model'] = HubertModel.from_pretrained("facebook/hubert-large-ls960-ft")
    logger.info("✓ HuBERT models loaded")
    
    # Wav2Vec2 CTC
    from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC, Wav2Vec2Model
    _MODELS['wav2vec2_processor'] = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
    _MODELS['wav2vec2_model'] = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
    _MODELS['wav2vec2_base_model'] = Wav2Vec2Model.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
    logger.info("✓ Wav2Vec2 models loaded")
    
    # TRILL
    try:
        import tensorflow_hub as hub
        _MODELS['trill_model'] = hub.load('https://tfhub.dev/google/nonsemantic-speech-benchmark/trill/3')
        logger.info("✓ TRILL model loaded")
    except Exception as e:
        logger.warning(f"TRILL model failed to load (non-fatal): {e}")
    
    # Silero VAD
    silero_model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad', model='silero_vad', force_reload=False, trust_repo=True)
    _MODELS['silero_vad'] = silero_model
    _MODELS['silero_utils'] = utils
    logger.info("✓ Silero VAD loaded")
    
    # Allosaurus
    try:
        from allosaurus.app import read_recognizer
        _MODELS['allosaurus_model'] = read_recognizer()
        logger.info("✓ Allosaurus loaded")
    except Exception as e:
        logger.warning(f"Allosaurus model failed to load (non-fatal): {e}")
    
    logger.info("All models loaded successfully!")

def get_models():
    """Get the loaded models dictionary."""
    return _MODELS