#my imports
import numpy as np
import unicodedata
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize import sent_tokenize
import string
from nltk import pos_tag
import pandas as pd
from nltk import pos_tag
from sklearn.feature_extraction.text import TfidfVectorizer
pd.set_option('display.max_colwidth', -1)
from sklearn.feature_selection import chi2
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.metrics import f1_score
from sklearn.metrics import recall_score
import matplotlib.pyplot as plt
from sklearn.metrics import precision_score
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('averaged_perceptron_tagger')
import random

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

high_pizza_link = "/content/n_high_pizza_positive.txt"

GPT-Install
%tensorflow_version 1.x
!pip install -q gpt-2-simple
import gpt_2_simple as gpt2
from datetime import datetime
from google.colab import files

gpt2.download_gpt2(model_name="355M")

gpt2.mount_gdrive()