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app.py

@@ -2,6 +2,14 @@ import requests
 import streamlit as st
 import pandas as pd
 
+
+# Load the trained model
+def load_model():
+    return joblib.load("sales_forecast_v1_0.joblib")
+
+model = load_model()
+
+
 st.title("Sales Prediction for SuperKart")
 
 # Batch Prediction

sales_forecast_v1_0.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f73a906e44d9ecdf8bb61b0bb8250d04af3babb16b8c63eaca4f50bfa275981b
+size 6577