Update app.py

app.py

@@ -3,16 +3,17 @@ import gradio as gr
 
 from sklearn.feature_extraction.text import TfidfVectorizer
 
-tfidf = TfidfVectorizer(stop_words='english')
 
 filename = 'movie_reviews_sentiment_analysis.pkl'
+vector = 'vectorizer.pkl'
+
 #Load and test saved model
 loaded_model = pickle.load(open(filename, 'rb'))
+loaded_vector = pickle.load(open(vector, 'rb'))
 
 def movie_review(review):
-    x= tfidf.fit_transform(review)
 
-    new_review = tfidf.fit_transform(x)
+    new_review = loaded_vector.fit_transform([review])
     
     result = loaded_model.predict(new_review)