Update app.py

app.py

@@ -8,6 +8,12 @@ image = Image.open('pic2.jpg')
 st.image(image,caption = 'Network Data Anomaly',width =1000)
 
 st.title("Network Data Anomaly")
+st.write("""An anomaly (also known as an outlier) is when something happens that is outside of the norm, 
+when it stands out or deviates from what is expected. There are different kinds of anomalies in an e-commerce setting, 
+they can be product anomaly, conversion anomaly or marketing anomaly.
+The model used is Isolation Forest, which is built based on decision trees and is an unsupervised model.
+Isolation forests can be used to detect anomaly in high dimensional and large datasets, with no labels.
+""")
 
 with open("./median.pickle", 'rb') as f:
     MED = pickle.load(f)