Update app.py

app.py

@@ -1098,56 +1098,57 @@ with tab_predict:
 
         
                 # PR plot
-                pr = m["pr_curve"]
+                pr = pr_ext
                 fig_pr = make_fig(figsize=FIGSIZE, dpi=plot_dpi_screen)
-                plt.plot(pr["recall"], pr["precision"])
+                plt.plot(pr_ext["recall"], pr_ext["precision"])
                 plt.xlabel("Recall")
                 plt.ylabel("Precision")
-                plt.title(f"PR Curve (AP = {pr['average_precision']:.3f})")
+                plt.title(f"External PR Curve (AP = {pr_ext['average_precision']:.3f})")
                 
                 render_plot_with_download(
                     fig_pr,
-                    title="PR curve",
-                    filename="pr_curve.png",
+                    title="External PR curve",
+                    filename="external_pr_curve.png",
                     export_dpi=export_dpi
                 )
 
+
         
-                # Calibration plot
-                cal = m["calibration"]
+                # Calibration plot (external)
+                cal = cal_ext
                 fig_cal = make_fig(figsize=FIGSIZE, dpi=plot_dpi_screen)
                 plt.plot(cal["prob_pred"], cal["prob_true"])
                 plt.plot([0, 1], [0, 1])
                 plt.xlabel("Mean predicted probability")
                 plt.ylabel("Observed event rate")
-                plt.title("Calibration curve")
+                plt.title("External calibration curve")
                 
                 render_plot_with_download(
                     fig_cal,
-                    title="Calibration curve",
-                    filename="calibration_curve.png",
+                    title="External calibration curve",
+                    filename="external_calibration_curve.png",
                     export_dpi=export_dpi
                 )
-
-        
-                # DCA plot
-                dca = m["decision_curve"]
+                
+                # DCA plot (external)
+                dca = dca_ext
                 fig_dca = make_fig(figsize=FIGSIZE, dpi=plot_dpi_screen)
                 plt.plot(dca["thresholds"], dca["net_benefit_model"], label="Model")
                 plt.plot(dca["thresholds"], dca["net_benefit_all"], label="Treat all")
                 plt.plot(dca["thresholds"], dca["net_benefit_none"], label="Treat none")
                 plt.xlabel("Threshold probability")
                 plt.ylabel("Net benefit")
-                plt.title("Decision curve analysis")
+                plt.title("External decision curve analysis")
                 plt.legend()
                 
                 render_plot_with_download(
                     fig_dca,
-                    title="Decision curve",
-                    filename="decision_curve.png",
+                    title="External decision curve",
+                    filename="external_decision_curve.png",
                     export_dpi=export_dpi
                 )
 
+
         
             except Exception as e:
                 st.error(f"Could not compute external validation metrics: {e}")