How to use the pymars.tools.convert function in pymars

args = parser.parse_args()

    if args.version:
        from ._version import __version__
        print('pyMARS {version} from {path} ()'.format(
            version=__version__,
            path=os.path.abspath(os.path.dirname(__file__))))
        sys.exit(0)

    if args.convert:
        if not args.model:
            parser.error('Conversion requires specifying a model file.')

        # Convert model and exit
        files = convert(args.model, args.thermo, args.transport, args.path)
        if isinstance(files, list):
            logging.info('Converted files: ' + ' '.join(files))
        else:
            logging.info('Converted file: ' + files)
    else:
        if not args.input:
            parser.error('A YAML input file needs to be specified using -i or --input')

        with open(args.input, 'r') as the_file:
            input_dict = yaml.safe_load(the_file)
        
        inputs = parse_inputs(input_dict)

        # Check for Chemkin format and convert if needed
        if os.path.splitext(args.model)[1] != '.cti':
            logging.info('Chemkin file detected; converting before reduction.')

logging.info('Converted files: ' + ' '.join(files))
        else:
            logging.info('Converted file: ' + files)
    else:
        if not args.input:
            parser.error('A YAML input file needs to be specified using -i or --input')

        with open(args.input, 'r') as the_file:
            input_dict = yaml.safe_load(the_file)
        
        inputs = parse_inputs(input_dict)

        # Check for Chemkin format and convert if needed
        if os.path.splitext(args.model)[1] != '.cti':
            logging.info('Chemkin file detected; converting before reduction.')
            args.model = convert(args.model, args.thermo, args.transport, args.path)

        main(
            inputs.model, inputs.error, 
            inputs.ignition_conditions, inputs.psr_conditions, inputs.flame_conditions,
            method=inputs.method, target_species=inputs.target_species,
            safe_species=inputs.safe_species, phase_name=inputs.phase_name,
            run_sensitivity_analysis=inputs.sensitivity_analysis, 
            upper_threshold=inputs.upper_threshold, sensitivity_type=inputs.sensitivity_type, 
            path=args.path, num_threads=args.num_threads
            )
    
    logging.shutdown()