Update model.py

model.py

@@ -9,8 +9,9 @@ from nltk.tokenize import TweetTokenizer
 from nltk.corpus import stopwords, twitter_samples
 from sklearn.linear_model import LogisticRegression
 
-nltk.download('twitter_samples')
-nltk.download('stopwords')
+nltk.data.path.append("/app/nltk_data")
+#nltk.download('twitter_samples')
+#nltk.download('stopwords')
 all_positive_tweets = twitter_samples.strings('positive_tweets.json')
 all_negative_tweets = twitter_samples.strings('negative_tweets.json')