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								import configparser
import logging
def getconfig(configfile_path:str):
    """
    configfile_path: file path of .cfg file
    """
    config = configparser.ConfigParser()
    try:
        config.read_file(open(configfile_path))
        return config
    except:
        logging.warning("config file not found")
# Declare all the necessary variables
def get_classifier_params(model_name):
    config = getconfig('paramconfig.cfg')
    params = {}
    params['model_name'] = config.get(model_name,'MODEL')
    params['split_by'] = config.get(model_name,'SPLIT_BY')
    params['split_length'] = int(config.get(model_name,'SPLIT_LENGTH'))
    params['split_overlap'] = int(config.get(model_name,'SPLIT_OVERLAP'))
    params['remove_punc'] = bool(int(config.get(model_name,'REMOVE_PUNC')))
    params['split_respect_sentence_boundary'] = bool(int(config.get(model_name,'RESPECT_SENTENCE_BOUNDARY')))
    params['threshold'] = float(config.get(model_name,'THRESHOLD'))
    params['top_n'] = int(config.get(model_name,'TOP_KEY'))
    return params
# Model select
model_dict = {
'Llama3.1-8B': 'meta-llama/Meta-Llama-3.1-8B-Instruct',
'Llama3.1-70B': 'meta-llama/Meta-Llama-3.1-70B-Instruct',
'Llama3.1-405B': 'meta-llama/Meta-Llama-3.1-405B-Instruct',
'Zephyr 7B β': 'HuggingFaceH4/zephyr-7b-beta',
'Mistral-7B': 'mistralai/Mistral-7B-Instruct-v0.2',
'Mixtral-8x7B': 'mistralai/Mixtral-8x7B-Instruct-v0.1',
} |