# IEMOCAP_PATH_TO_WAVS = 'C:\\Users\\Artem\\Documents\\Projects\\SER\\datasets\\iemocap'
# IEMOCAP_PATH_TO_WAVS = 'datasets'
# IEMOCAP_PATH_TO_WAVS = 'datasets\\'

# IEMOCAP_PATH_TO_WAVS = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\iemocap_audios\\'
# IEMOCAP_PATH_FOR_PARSER = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\'
# PATH_TO_PICKLE = 'datasets\\'
# IEMOCAP_PATH_TO_EGEMAPS = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\iemocap_audios\\features\\egemaps.csv'

# RAMAS_PATH_TO_WAVS_DOM_SUB = 'E:\\Projects\\SER\\datasets\\RAMAS\\Audio\\cut_and_labeled\\domination_submission\\segmented\\'
# RAMAS_PATH_TO_WAVS_DESCRETE = 'E:\\Projects\\SER\\datasets\\RAMAS\\Audio\\cut_and_labeled\\descrete_labels\\segmented\\'


# RAMAS_PATH_TO_WAVS_DOM_SUB = '/media/aggr/DATA/RAMAS/RAMAS/Data/Audio/cut_and_labeled/domination_submission/segmented'
# RAMAS_PATH_TO_WAVS_DESCRETE = '/media/aggr/DATA/RAMAS/RAMAS/Data/Audio/cut_and_labeled/descrete_labels/segmented'


# IEMOCAP_PATH_TO_WAVS = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\iemocap_audios\\'
# IEMOCAP_PATH_FOR_PARSER = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\'
PATH_TO_PICKLE = 'datasets\\'
# IEMOCAP_PATH_TO_EGEMAPS = 'E:\\Projects\\SER\\datasets\\IEMOCAP_full_release\\iemocap_audios\\features\\egemaps.csv'

# RAMAS_PATH_TO_WAVS = 'E:\\Projects\\SER\\datasets\\RAMAS\\Audio\\Audio_cut\\'
# RAMAS_PATH_TO_WAVS = 'E:\\Projects\\SER\\datasets\\RAMAS\\testing\\cut_and_labeled\\segmented\\'


# RANDOM_SEED = 42
# WEIGHTS_FOLDER = 'models\\training sessions\\'
# RESULTS_FOLDER = 'models\\best models\\'
import os


IEMOCAP_PATH_TO_WAVS = ''
IEMOCAP_PATH_FOR_PARSER = ''
PATH_TO_PICKLE = 'datasets/'
IEMOCAP_PATH_TO_EGEMAPS = ''


RANDOM_SEED = 42
WEIGHTS_FOLDER = os.path.join('models', 'training_sessions')
RESULTS_FOLDER = os.path.join('models', 'best_models')

RAMAS_PATH_TO_WAVS = os.path.join('datasets', 'RAMAS', 'Audio_annotated_cut')
RAMAS_PATH_TO_WAVS_BINARY = os.path.join('datasets', 'RAMAS', 'AngDom', 'Audio_annotated_cut')