feat: updated website

app.py

@@ -328,7 +328,8 @@ elif page == "Customer Analysis":
                     # Column 1: Radar chart for top manufacturers
                     with col1:
                         # Overperforming manufacturers alert
-                        st.markdown(f"### This looks great!")
+                        st.subheader("This looks great!")
+                        st.info("Your customer did exceed predicted sales from the following brands:")
 
                         # Identify manufacturers that exceeded predicted sales
                         overperforming_manufacturers = results[results['ventas_reales'] > results['ventas_predichas']].copy()
@@ -343,16 +344,23 @@ elif page == "Customer Analysis":
                             # Limit to top 10 overperforming manufacturers
                             top_overperformers = overperforming_manufacturers.head(10)
 
-                            # Display alerts for top 10 biggest overperformers
-                            st.success("Your customer did exceed predicted sales from the following brands:")
                             for index, row in top_overperformers.iterrows():
                                 manufacturer_name = get_supplier_name(row['marca_id_encoded'])
                                 predicted = row['ventas_predichas']
                                 actual = row['ventas_reales']
                                 extra = row['extra_amount']
-                                st.write(f"- {manufacturer_name}: Predicted = {predicted:.2f}€, Actual = {actual:.2f}€, Exceeded by = {extra:.2f}€")
+                                
+                                # Use Streamlit's st.metric for better styling
+                                st.metric(
+                                    label=f"{manufacturer_name}", 
+                                    value=f"{actual:.2f}€", 
+                                    delta=f"Exceeded by {extra:.2f}€", 
+                                    delta_color="normal"
+                                )
                         else:
                             st.info("No manufacturers exceeded predicted sales.")
+
+
                         # Radar chart logic remains the same
                         customer_df = df[df["CLIENTE"] == str(customer_code)]
                         all_manufacturers = customer_df.iloc[:, 1:].T
@@ -397,13 +405,14 @@ elif page == "Customer Analysis":
 
                     # Column 2: Alerts and additional analysis
                     with col2:
-                        st.markdown(f"### You might need to check this!")
-                        
+                        st.subheader("You might need to check this!")
+                        st.warning("Your customer was expected to buy more products from the following brands:")
+
                         # Identify manufacturers that didn't meet predicted sales
                         underperforming_manufacturers = results[results['ventas_reales'] < results['ventas_predichas']].copy()
-                        
+
                         if not underperforming_manufacturers.empty:
-                            # Calculate the missed amount (difference between predicted and actual sales)
+                            # Calculate the missed amount
                             underperforming_manufacturers['missed_amount'] = underperforming_manufacturers['ventas_predichas'] - underperforming_manufacturers['ventas_reales']
 
                             # Sort by the highest missed amount
@@ -412,14 +421,19 @@ elif page == "Customer Analysis":
                             # Limit to top 10 missed amounts
                             top_misses = underperforming_manufacturers.head(10)
 
-                            # Display warnings for top 10 biggest misses
-                            st.warning("Your customer was expected to buy more products from the following brands:")
                             for index, row in top_misses.iterrows():
                                 manufacturer_name = get_supplier_name(row['marca_id_encoded'])
                                 predicted = row['ventas_predichas']
                                 actual = row['ventas_reales']
                                 missed = row['missed_amount']
-                                st.write(f"- {manufacturer_name}: Predicted = {predicted:.2f}€, Actual = {actual:.2f}€, Missed = {missed:.2f}€")
+
+                                # Use Streamlit's st.metric for better styling
+                                st.metric(
+                                    label=f"{manufacturer_name}", 
+                                    value=f"{actual:.2f}€", 
+                                    delta=f"Missed by {missed:.2f}€", 
+                                    delta_color="inverse"
+                                )
                         else:
                             st.success("All manufacturers have met or exceeded predicted sales.")