Update app.py

app.py

@@ -108,9 +108,10 @@ if len(gene_list) > 1:
     )
     df_shap = df_total[df_total.index.isin(gene_list)]
     df_shap.drop(columns='XGB_Score', inplace=True)
+    print(df_shap.columns)
     shap_values = explainer.shap_values(df_shap)
     #summary_plot = shap.summary_plot(shap_values, df_shap)
-    summary_plot = shap_summary_plot(shap_values,features=df_shap, feature_names=df_shap.columns, max_display=8)
+    summary_plot = shap_summary_plot(shap_values, features=df_shap, feature_names=df_shap.columns, max_display=8)
     st.pyplot(fig=summary_plot)
     st.caption("SHAP Summary Plot of All Input Genes")
     feature_order = np.argsort(np.sum(np.abs(shap_values), axis=0)[:-1])