Title Generator

import pandas as pd
import string
import numpy as np
import json

from keras.preprocessing.sequence import pad_sequences
from keras.layers import Embedding, LSTM, Dense, Dropout
from keras.preprocessing.text import Tokenizer
from keras.callbacks import EarlyStopping
from keras.models import Sequential
import keras.utils as ku

import tensorflow as tf
tf.random.set_seed(2)
from numpy.random import seed
seed(1)

#load all the datasets 
df1 = pd.read_csv('USvideos.csv')
df2 = pd.read_csv('CAvideos.csv')
df3 = pd.read_csv('GBvideos.csv')

#load the datasets containing the category names
data1 = json.load(open('US_category_id.json'))
data2 = json.load(open('CA_category_id.json'))
data3 = json.load(open('GB_category_id.json'))