#!/usr/bin/env python3
"""
Example usage of Wave2Vec2Inference with dynamic model switching
"""

from src.AI_Models.wave2vec_inference import (
    create_inference,
    get_available_models,
    get_model_name,
    DEFAULT_MODEL
)

def main():
    print("=== Wave2Vec2 Model Selection Example ===\n")
    
    # Show available models
    print("Available models:")
    models = get_available_models()
    for key, model_name in models.items():
        print(f"  {key}: {model_name}")
    print(f"\nDefault model: {DEFAULT_MODEL}\n")
    
    # Example 1: Using default model
    print("1. Creating inference with default model:")
    asr_default = create_inference()
    print(f"   Loaded: {asr_default.model_name}\n")
    
    # Example 2: Using model key
    print("2. Creating inference with model key 'english_large':")
    asr_key = create_inference("english_large")
    print(f"   Loaded: {asr_key.model_name}\n")
    
    # Example 3: Using full model name
    print("3. Creating inference with full model name:")
    asr_full = create_inference("facebook/wav2vec2-base-960h")
    print(f"   Loaded: {asr_full.model_name}\n")
    
    # Example 4: Dynamic model switching
    print("4. Dynamic model switching:")
    model_keys = ["english_large", "multilingual", "base_english"]
    
    for model_key in model_keys:
        print(f"   Switching to: {model_key}")
        asr = create_inference(model_key)
        print(f"   Active model: {asr.model_name}")
        
        # Example transcription (if you have an audio file)
        # result = asr.file_to_text("your_audio_file.wav")
        # print(f"   Result: {result}")
        print()
    
    # Example 5: Using with ONNX
    print("5. Creating ONNX inference with model selection:")
    try:
        asr_onnx = create_inference("english_large", use_onnx=True)
        print(f"   ONNX model loaded: {asr_onnx.model_name}")
    except Exception as e:
        print(f"   ONNX conversion needed: {e}")
    
    print("\n=== Usage Examples ===")
    print("# Use default model")
    print("asr = create_inference()")
    print()
    print("# Use model key")
    print("asr = create_inference('english_large')")
    print()
    print("# Use full model name")
    print("asr = create_inference('facebook/wav2vec2-base-960h')")
    print()
    print("# Use with ONNX")
    print("asr = create_inference('english_large', use_onnx=True)")
    print()
    print("# Transcribe audio")
    print("result = asr.file_to_text('audio.wav')")
    print("# or")
    print("result = asr.buffer_to_text(audio_array)")

if __name__ == "__main__":
    main()