trainingmodel.py

#Create the training model for the dataset
#Create the scaled training dataset
train_data = scaled_data[0:training_data_len , :]
#Split the data into x_train & y_train
x_train = []
y_train = []

for i in range(60, len(train_data)):
    x_train.append(train_data[i-60:i, 0])
    y_train.append(train_data[i, 0])
    if i<= 61:
        print(x_train)
        print(y_train)
        print()