Update main.py

main.py

@@ -22,7 +22,6 @@ from nltk.tokenize import word_tokenize, sent_tokenize
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import classification_report, accuracy_score, confusion_matrix, roc_curve, auc
 from sklearn.manifold import TSNE
-from wordcloud import WordCloud
 from transformers import BertTokenizer, TFBertForSequenceClassification
 
 df = pd.read_csv("dataset_tweet_sentiment_pilkada_DKI_2017.csv")