main.py

from dotenv import load_dotenv
import os
import argparse

def main():

    parser = argparse.ArgumentParser(description="Script with configs and CLI args.")
    parser.add_argument("--config", type=str, help="Path to the config file.", default="config/.env", required=False)
    parser.add_argument("--file", type=str, help="Path to CSV file with guidelines.", default="data.csv", required=False)

    args = parser.parse_args()

    # Load the .env file
    load_dotenv(dotenv_path=args.config)

    from sources.full_pipeline import run_pipeline
    from sources.models.execute_tests import LLMExecutor

    # executor = LLMExecutor()
    # question = "Who is Ash? Does he have cash?"
    # # Call your local API
    # answer_local = executor.call_llm_api(question, api_name='local_api')
    # print("Answer from Local API:", answer_local)

    
    run_pipeline(args.file)


if __name__ == "__main__":
    main()