Updateda app.py.

app.py

@@ -26,11 +26,13 @@ def process_text(text):
 vectorizer = CountVectorizer()
 def vectorize_text(text):
     text = process_text(text)
-    return vectorizer.transform(text)
+    text = vectorizer.fit_transform([text])
+    return text
 
 # Load model from pickle file
 model = pickle.load(open(lr_filename, 'rb'))
 
+
 def predict(text):
     text = vectorize_text(text)
     prediction = model.predict(text)