app.py

import streamlit as st 
import numpy as np 
import pandas as pd 
import pickle 
from PIL import Image 

image = Image.open('picture.png')
st.image(image,caption = 'Network Data Anomaly',width =1000)

st.title("Network Data Anomaly")

with open("./median.pickle", 'rb') as f:
    MED = pickle.load(f)
with open("./mad.pickle", 'rb') as g:
    MA = pickle.load(g)

def ZRscore_outlier(packet,med,ma):
    z = (0.6745*(packet-med))/ (np.median(ma))
    if np.abs(z) > 3: 
        print("Outlier")
    else:
        print("Not an Outlier")

packet = 373
ZRscore_outlier(packet,MED,MA)