Update functions_preprocess.py

functions_preprocess.py

@@ -19,6 +19,9 @@ def download_if_non_existent(res_path, res_name):
     print(f'resource {res_path} not found. Downloading now...')
     nltk.download(res_name)
 
+download_if_non_existent('corpora/stopwords', 'stopwords', 'taggers/averaged_perceptron_tagger', 
+                         'averaged_perceptron_tagger', 'corpora/wordnet', 'wordnet', 'punkt, omw-1.4')
+
 def fit_model(pipeline, x_train, y_train, x_test, y_test):
   pipeline.fit(x_train, y_train)
   return ConfusionMatrixDisplay.from_estimator(pipeline, x_test, y_test, normalize="true")