from joblib import load
from sklearn.feature_extraction.text import TfidfVectorizer
import numpy as np
import streamlit as st

vectorizer = TfidfVectorizer(use_idf=True, lowercase=True, strip_accents='ascii', stop_words='english')
user_input = st.text_input("Enter some text:", "Default Text")
if user_input is not None:
    x = vectorizer.fit_transform(np.array(user_input))
    model = load('Naive_Bayes_Spam_Detection.joblib')
    pred = model.predict(x)
    st.write(pred)