add interaction plot

app.py

@@ -67,7 +67,7 @@ with gr.Blocks() as demo:
                     summary_plot = gr.Plot()
             with gr.Row():
                 with gr.Column():
-                    plotttt = gr.Plot()
+                    interaction_plot = gr.Plot()
                 with gr.Column():
                     plottttttt = gr.Plot()
 
@@ -163,11 +163,21 @@ with gr.Blocks() as demo:
         )  # Set show=False to prevent immediate display
 
         fig3 = plt.figure(figsize=(3, 3))
+        plt.title("SHAP Summary Plot")
         shap.summary_plot(
             shap_values,
             features=transformed_df,
             feature_names=["age", "bmi", "hba1c", "glucose"],
         )
+
+        fig4 = plt.figure(figsize=(3, 3))
+        plt.title("SHAP Interaction Plot")
+        shap_interaction_values = explainer.shap_interaction_values(transformed_df)
+        shap.summary_plot(
+            shap_interaction_values,
+            features=transformed_df,
+            feature_names=["age", "bmi", "hba1c", "glucose"],
+        )
         ## save user's data in hopsworks
         if consent_input == True:
             user_data_fg = fs.get_or_create_feature_group(
@@ -180,7 +190,7 @@ with gr.Blocks() as demo:
             user_data_df["diabetes"] = existent_info_input
             user_data_fg.insert(user_data_df)
             print("inserted new user data to hopsworks", user_data_df)
-        return res, fig, fig2, fig3
+        return res, fig, fig2, fig3, fig4
 
     btn.click(
         submit_inputs,