add

models/p_logreg.py

@@ -3,12 +3,12 @@ from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
 import pickle
 
 
-with open('logreg_vec.pkl', 'rb') as f:
+with open('models/logreg_vec.pkl', 'rb') as f:
     vectorizer = pickle.load(f)
 
 
 # Load the model
-classifier = load('logreg_model.joblib')
+classifier = load('models/logreg_model.joblib')
 
 def predict_tfidf(text):
     text_review_vectorized = vectorizer.transform([text])