Added all files

app.py

@@ -4,6 +4,9 @@ from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 from sklearn.feature_extraction.text import CountVectorizer
 import gradio as gr
+import nltk
+nltk.download('punkt')
+nltk.download('stopwords')
 
 count_vectorizer = joblib.load("count_vectorizer.joblib")
 best_logistic_model = joblib.load("logistic_regression_model.joblib")