Update app.py

app.py

@@ -5,7 +5,9 @@ import streamlit as st
 
 warnings.simplefilter("ignore", UserWarning)
 
-MODEL = pickle.load(open('IF_model_anomaly.pkl','rb'))
+model_path = "ThirdEyeData/Retail-Anomaly"
+
+MODEL = pickle.load(open('model_path','rb'))
 
 st.title("Retail 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.