Update app.py

app.py

@@ -7,12 +7,26 @@ st.set_page_config(layout="wide")
 
 st.title("CEO Dashboard")
 
+# Get Information
+df = pd.read_csv("CEO.csv")
+
+# Get Numbers
+kpi1_value = df['Overall Revenue Growth'].iloc[-1]
+kpi2_value = df['Revenue'].iloc[-1]
+kpi3_value = df['Cost'].iloc[-1]
+kpi4_value = df['Profit'].iloc[-1]
+
+kpi1_percentage = df['Overall Revenue Growth'].iloc[-1] - df['Overall Revenue Growth'].iloc[-2]
+kpi2_percentage = df['Revenue'].iloc[-1]/df['Revenue'].iloc[-2]-1
+kpi3_percentage = df['Cost'].iloc[-1]/df['Cost'].iloc[-2]-1
+kpi4_percentage = df['Profit'].iloc[-1]/df['Profit'].iloc[-2]-1
+
 # Existing metric cards code
 col1, col2, col3, col4 = st.columns(4)
-col1.metric("Market Share", "14%", "1%")
-col2.metric("Revenue", "246971", "14%")
-col3.metric("Cost", "101500", "4%")
-col4.metric("Profit", "145471", "10%")
+col1.metric("Market Share", kpi1_value, kpi1_percentage)
+col2.metric("Revenue", kpi2_value, kpi1_percentage)
+col3.metric("Cost", kpi3_value, kpi1_percentage)
+col4.metric("Profit", kpi4_value, kpi1_percentage)
 
 # Fake data for the bar charts
 data1 = pd.DataFrame({