Update app.py

app.py

@@ -46,28 +46,24 @@ with tabs[0]:
         start_date, end_date = st.date_input("Select ETA date range:", [min_date, max_date], min_value=min_date, max_value=max_date)
         df = df[(df['ETA'] >= pd.to_datetime(start_date)) & (df['ETA'] <= pd.to_datetime(end_date))]
 
-        # Shipment status distribution with interactive selection
+        # Shipment status selection
         st.subheader("Shipment Status Distribution")
         status_order = ["Pending", "WH-IN", "Cargo Ready", "Ship Out"]
         status_counts = df['Shipment Status'].value_counts().reindex(status_order).reset_index()
         status_counts.columns = ['Shipment Status', 'Count']
         status_counts = status_counts.dropna()
 
-        # Altair selection for interactivity
-        selection = alt.selection_single(fields=['Shipment Status'], bind='legend', name='Select', init={'Shipment Status': 'Pending'})
+        selected_status = st.radio("Select a Shipment Status to filter the details below:", options=status_order, index=0)
 
         chart = alt.Chart(status_counts).mark_bar().encode(
             x=alt.X('Shipment Status', sort=status_order),
             y='Count',
             color='Shipment Status',
-            tooltip=['Shipment Status', 'Count'],
-            opacity=alt.condition(selection, alt.value(1), alt.value(0.4))
-        ).add_params(selection).properties(height=300)
+            tooltip=['Shipment Status', 'Count']
+        ).properties(height=300)
 
         st.altair_chart(chart, use_container_width=True)
 
-        selected_status = selection.init['Shipment Status'] if selection else "Pending"
-
         # Volume by ETA
         st.subheader("Shipment Volume by ETA")
         volume_by_eta = df.groupby('ETA').agg({