update multi-file visualization

ui.py

@@ -400,14 +400,14 @@ def render_multifile_summary(plotly_config=None):
                 st.session_state.categories, st.session_state.categorySelect,
                 speakerRenames=st.session_state.speakerRenames,
             )
-            df7, _ = utils.build_multifile_voice_df(validNames, st.session_state.summaries)
+            df7, _ = utils.build_multifile_voice_df(validNames, st.session_state.results)
 
             fig6 = px.bar(df6, x="files", y=allCategories,
-                           title="Proportion of File Duration Spoken by Each Speaker/Role *")
-            fig6.update_layout(yaxis_title="Proportion of File Duration")
+                           title="% of File Duration Spoken by Each Speaker/Role *")
+            fig6.update_layout(yaxis_title="% of File Duration")
             st.plotly_chart(fig6, use_container_width=True, config=cfg)
             st.caption(
-                "*Note: Proportion may not sum to 1 as overlaps between speakers "
+                "*Note: Values may not sum to 100% as overlaps between speakers "
                 "are only counted once."
             )
 
@@ -428,7 +428,7 @@ def render_multifile_summary(plotly_config=None):
                     x="files", y=["Single Voice", "Multi Voice", "No Voice"],
                     title=f"Cross-file Voice Categories sorted by {selected_sort}",
                 )
-                fig7.update_layout(yaxis_title="Proportion of File Duration")
+                fig7.update_layout(yaxis_title="% of File Duration")
                 st.plotly_chart(fig7, use_container_width=True, config=cfg)
 
             st.divider()
@@ -458,5 +458,5 @@ def render_multifile_summary(plotly_config=None):
                     x="files", y=role_voice_cols,
                     title=f"Cross-file Role & Voice Breakdown sorted by {selected_role_sort}",
                 )
-                fig8.update_layout(yaxis_title="Proportion of File Duration")
+                fig8.update_layout(yaxis_title="% of File Duration")
                 st.plotly_chart(fig8, use_container_width=True, config=cfg)