from experiment import setup_experiment
from data_utils import load_chatbot_data, load_personas

def main():
    print("Starting main function...")
    # Load and prepare data
    print("Loading chatbot data...")
    train_data, val_data, train_labels, val_labels = load_chatbot_data("/home/ath/AI/lmsys_chatbot_arena_human/kaggle/input/lmsys-chatbot-arena/train.csv", sample_frac=0.05)
    print(f"Loaded {len(train_data)} training samples and {len(val_data)} validation samples.")
    print("Loading personas...")
    personas = load_personas()
    print(f"Loaded {len(personas)} personas.")

    # Setup experiment
    print("Setting up experiment...")
    experiment, train_loader = setup_experiment(train_data, train_labels, batch_size=4, max_length=64)

    # Try to load previous state
    if experiment.load_state():
        print("Resuming experiment from saved state.")
    else:
        print("No saved state found. Starting new experiment.")

    # Run experiment
    print("Running experiment...")
    experiment.run_experiment(train_loader, num_iterations=500)
    print("Main function completed.")

if __name__ == "__main__":
    main()