text: from keras.models import Sequential, Model
  from keras.layers import Flatten, Dense, Dropout
  from keras.layers import GRU, LSTM, SimpleRNN, Input
  from keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D
  from keras.optimizers import SGD
  import cv2, numpy as np
  
  def get_symbol(input_shape,weights_path=None):
      input2 = Input(shape=input_shape)
  
      rnn=LSTM(units=128,dropout=0.2,return_sequences=True)(input2)
      flatr=Flatten()(rnn)
      densr=Dense(256,activation='relu')(flatr)
      dropr=Dropout(0.5)(densr)
  
      out=Dense(2,activation='softmax')(dropr)
  
      if weights_path:
          model.load_weights(weights_path)
  
      return Model(input2,out)
  
  def rc():
      return "r"
  