Update app.py

app.py

@@ -5,6 +5,8 @@ from nltk.tokenize import word_tokenize
 from nltk.stem.wordnet import WordNetLemmatizer
 df=pd.read_csv('Hotel_Reviews.csv')
 df[_A]=df.Hotel_Address.apply(lambda x:x.split(' ')[-1])
+import nltk
+nltk.download('punkt')
 def Input_your_destination_and_description(location,description):
         M='Average_Score';L='Hotel_Name';K=False;J='similarity';D=True;C='Tags';B=description;df[_A]=df[_A].str.lower();df[C]=df[C].str.lower();B=B.lower();N=word_tokenize(B);E=stopwords.words('english');F=WordNetLemmatizer();O={A for A in N if not A in E};G=set()
         for P in O:G.add(F.lemmatize(P))