text_plain_output_1.png
import os

import numpy as np
import pandas as pd
import tensorflow as tf
from tensorflow.keras.layers.experimental.preprocessing import TextVectorization
from sklearn.model_selection import train_test_split
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib.colors import Normalize, rgb2hex
from IPython.display import HTML
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))