Update app.py

app.py

@@ -8,26 +8,34 @@ import datasets
 
 import pandas as pd
 import nltk
+from nltk import word_tokenize
+from nltk.corpus import stopwords
+from nltk.stem import wordnet  # for lemmtization
+from nltk import pos_tag  # for parts of speech
+nltk.download('omw-1.4')  #this is for the .apply() function to work
+nltk.download('punkt')
+nltk.download('averaged_perceptron_tagger')
+nltk.download('wordnet')
+nltk.download('stopwords')
+
+
 import numpy as np
 import os
 import re  #regular expressions
-from nltk.stem import wordnet  # for lemmtization
+import time
+
 from sklearn.feature_extraction.text import CountVectorizer  # for bag of words (bow)
 from sklearn.feature_extraction.text import TfidfVectorizer  #for tfidf
-from nltk import pos_tag  # for parts of speech
 from sklearn.metrics import pairwise_distances  # cosine similarity
-from nltk import word_tokenize
-from nltk.corpus import stopwords
+from sklearn.metrics.pairwise import cosine_similarity
+
 from gensim.models import Word2Vec, KeyedVectors
 import gensim.downloader as api
-from sklearn.metrics.pairwise import cosine_similarity
+
 import gradio as gr
 import time
-nltk.download('omw-1.4')  #this is for the .apply() function to work
-nltk.download('punkt')
-# nltk.download('averaged_perceptron_tagger')
-nltk.download('wordnet')
-nltk.download('stopwords')
+
+
 
 
 # Take Rachel as main character