Adding eng stopwords

Adding the # Get English stopwords
en_stopwords = stopwords.words('english')

app.py

@@ -9,6 +9,12 @@ from sklearn.pipeline import Pipeline
 from sklearn.base import BaseEstimator, TransformerMixin
 from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
 
+import nltk
+nltk.download('stopwords')
+from nltk.corpus import stopwords
+
+nltk.download('rslp')
+from nltk.stem import RSLPStemmer
 
 #--------------------------------------------------------------------------------------
 #------------------------ NEWS DATA RETRIEVER------------------------------------------
@@ -144,20 +150,6 @@ def call_functions(domain):
 
 
 
-#----------------------------GRADIO APP--------------------------------------#
-# # GRADIO APP USING INTERFACE
-# # Create a Gradio interface
-# iface = gr.Interface(
-#     fn=call_functions,
-#     inputs=gr.components.Textbox(label="Directory Path"),
-#     outputs=gr.components.Dataframe(type="pandas")
-# )
-# # Launch the Gradio app
-# iface.launch(debug=True)
-
-# GRADIO APP USING BLOCKS
-
-
 
 
 #--------------------------------------------------------------------------------------
@@ -202,6 +194,11 @@ def re_whitespaces(text_list):
     return white_spaces_end
 
 # Class for regular expressions application
+
+
+# Get English stopwords
+en_stopwords = stopwords.words('english')
+
 class ApplyRegex(BaseEstimator, TransformerMixin):
 
     def __init__(self, regex_transformers):