!pip install jovian --upgrade --quiet

jovian.commit()

# First we import the required libraries

import tensorflow as tf
import random
import numpy as np
import pandas as pd
import matplotlib.image  as mpimg
import matplotlib.pyplot as plt
import io

from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.utils import to_categorical
from tensorflow.keras import regularizers
from tensorflow.keras import backend as K 
K.clear_session()

# Check tensorflow version
if float(tf.__version__[0]) < 2.0:
  print('Updating tensorflow')
  !pip install tensorflow==2.0
else:
  print('Correct version of Tensorflow installed.')

# Connect to Google Drive 
# Upload the dataset to your Google drive so it can be loaded here

from google.colab import drive
drive.mount('/content/gdrive')

# Retrieve the data

data = pd.read_csv('/content/gdrive/My Drive/FakeNewsData.csv')
data = data.fillna(' ')
data.count()