import os
import torch
import numpy as np

def setup_speaker_embeddings():
    """Set up speaker embeddings for different voice types"""
    print("Setting up speaker embeddings...")
    
    # Create directory if it doesn't exist
    if not os.path.exists("speaker_embeddings"):
        os.makedirs("speaker_embeddings")
    
    # Create dummy speaker embeddings (in a real implementation, these would be extracted from voice samples)
    speaker_embeddings = {
        "neutral": torch.randn(512),  # 512-dimensional embedding vector for neutral voice
        "feminine": torch.randn(512), # 512-dimensional embedding vector for feminine voice
        "masculine": torch.randn(512) # 512-dimensional embedding vector for masculine voice
    }
    
    # Save embeddings
    for voice_type, embedding in speaker_embeddings.items():
        torch.save(embedding, f"speaker_embeddings/{voice_type}.pt")
        print(f"Created speaker embedding for {voice_type} voice")
    
    print("Speaker embeddings setup complete")

if __name__ == "__main__":
    setup_speaker_embeddings()