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app.py

@@ -7,10 +7,12 @@ import numpy as np
 # Load the trained model
 @st.cache_resource
 def load_model():
-    return joblib.load("/content/deployment_files/frontend/SuperKart_Model_V1_0.joblib")
+    return joblib.load("deployment_files/frontend/SuperKart_Model_V1_0.joblib")
 
 model = load_model()
 
+
+
 # Streamlit UI for Price Prediction
 st.title("SuperKart Revenue Prediction App")
 st.write("This tool predicts the sales revenue listing based on the given details.")