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app.py

@@ -11,15 +11,13 @@ st.title("Customer Status Prediction")
 st.write("""
 This web app predicts the **status** of a customer based on their activity and profile information.
 """)
+# Load the trained model
+@st.cache_resource
+def load_model():
+    return joblib.load("my_model_v1_0.joblib")
 
-# 2️⃣ Load serialized ML model
-@st.cache_data
-def load_model(model_path):
-    with open(model_path, "rb") as f:
-        model = pickle.load(f)
-    return model
+model = load_model()
 
-model = load_model("best_model.pkl")  # Replace with your model path
 
 # 3️⃣ Create UI for user input
 st.sidebar.header("Provide Input Features")