miladfa7

import tensorflow 
from PIL import Image
import glob
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.preprocessing.image import load_img
import numpy as np

aug = ImageDataGenerator(
	rotation_range=30,

miladfa7

import tensorflow 
from tensorflow.keras.preprocessing.image import ImageDataGenerator

# Create training ImageDataGenerator object
train_data_gen = ImageDataGenerator(rotation_range=50,
                                    width_shift_range=0.2,
                                    height_shift_range=0.2,
                                    zoom_range=0.3,
                                    horizontal_flip=True,
                                    vertical_flip=True,

miladfa7

from simpletransformers.language_modeling import LanguageModelingModel
import logging


logging.basicConfig(level=logging.INFO)
transformers_logger = logging.getLogger("transformers")
transformers_logger.setLevel(logging.WARNING)


train_args = {

miladfa7

import tensorflow as tf
from gensim.corpora import WikiCorpus
import os
import argparse

# lang = 'fa' farsi

def store(corpus, lang):
    base_path = os.getcwd()
    store_path = os.path.join(base_path, '{}_corpus'.format(lang))