Update app.py

app.py

@@ -94,6 +94,7 @@ cdict1 = {
 }  # #1E88E5 -> #ff0052
 red_blue = LinearSegmentedColormap('RedBlue', cdict1)
 
+'''
 def matplotlib_to_plotly(cmap, pl_entries):
     h = 1.0/(pl_entries-1)
     pl_colorscale = []
@@ -105,6 +106,7 @@ def matplotlib_to_plotly(cmap, pl_entries):
     return pl_colorscale
 
 red_blue = matplotlib_to_plotly(red_blue, 255)
+'''
 
 if len(gene_list) > 1:
     df = df_total[df_total.index.isin(gene_list)]
@@ -135,6 +137,7 @@ if len(gene_list) > 1:
     feature_order = np.argsort(np.sum(np.abs(shap_values), axis=0)[:-1])
     feature_order = feature_order[-min(8, len(feature_order)):]
     col_order = [df_shap.columns[i] for i in feature_order]
+    '''
     st.caption("Interactive SHAP Summary Plot of All Input Genes")
     mpl_fig = shap_summary_plot(shap_values, df_shap, max_display=8, show=False, feature_names=col_order)
     plotly_fig = tls.mpl_to_plotly(mpl_fig)
@@ -187,7 +190,7 @@ if len(gene_list) > 1:
 
 
     st.plotly_chart(plotly_fig)
-
+'''
 else:
     pass