Update app.py

app.py

@@ -21,8 +21,16 @@ def load_data():
 lead_time_data, inventory_data, optimization_data = load_data()
 st.header("📊 Inventory Optimization Insights")
 st.write("### Optimization Results Dataset")
-st.dataframe(optimization_data)
-st.write("### Key Metrics Summary")
+page_size = 100  # Show 100 rows per page
+total_rows = len(optimization_data)
+page_num = st.number_input("Page Number", min_value=1, max_value=(total_rows // page_size) + 1, step=1)
+
+start_idx = (page_num - 1) * page_size
+end_idx = start_idx + page_size
+
+st.write(f"### Showing rows {start_idx} to {end_idx}")
+st.dataframe(optimization_data.iloc[start_idx:end_idx])
+
 st.write(optimization_data.describe())
 st.write("### Optimization Trend")
 if 'Optimization_Score' in optimization_data.columns:
@@ -78,5 +86,6 @@ if st.button("Save Results"):
     inventory_data.to_csv("updated_inventory_data.csv", index=False)
     st.success("Results saved to 'updated_inventory_data.csv'")
 if __name__ == "__main__":
-    st.run()
+    import streamlit as st
+    st.write("Streamlit app is running!")