Make changes to multi-file graphs

ui.py

@@ -193,32 +193,6 @@ def render_rename_sidebar(currFile, speakerNames, display_speaker_tokens, token_
     )
 
 
-# ---------------------------------------------------------------------------
-# Data tab — custom scrollable table
-# ---------------------------------------------------------------------------
-
-def render_data_table(tableDF, speakerNames, raw_to_display, currFile):
-    """Render the custom column-based scrollable table (Speaker, Start, Finish)."""
-    other_cols = [c for c in tableDF.columns if c != "Speaker"]
-    col_widths = [2] + [1] * len(other_cols)
-
-    # Header
-    header_cols = st.columns(col_widths)
-    header_cols[0].markdown("**Speaker**")
-    for i, col_name in enumerate(other_cols):
-        header_cols[i + 1].markdown(f"**{col_name}**")
-
-    st.markdown("<hr style='margin-top:2px; margin-bottom:4px;'>", unsafe_allow_html=True)
-
-    with st.container(height=480, border=False):
-        for _, row in tableDF.iterrows():
-            row_cols   = st.columns(col_widths)
-            display_sp = row["Speaker"]
-            row_cols[0].write(display_sp)
-            for i, col_name in enumerate(other_cols):
-                row_cols[i + 1].write(row[col_name])
-
-
 # ---------------------------------------------------------------------------
 # Rename Speaker tab — speaker / audio sample table
 # ---------------------------------------------------------------------------
@@ -426,20 +400,35 @@ def render_multifile_summary(plotly_config=None):
                 st.session_state.categories, st.session_state.categorySelect,
                 speakerRenames=st.session_state.speakerRenames,
             )
-            fig6 = px.bar(df6, x="files", y=allCategories,
-                           title="Proportion of File Duration Spoken by Each Speaker/Role")
+            df7, _ = utils.build_multifile_voice_df(validNames, st.session_state.summaries)
+
+            # Add No Voice (silence) to the speaker/role chart.
+            # df7 percentiles are 0-100, df6 uses 0-1 proportions.
+            no_voice_map = dict(zip(df7["files"], df7["No Voice"] / 100))
+            df6["No Voice"] = df6["files"].map(no_voice_map).fillna(0)
+            chart_cols = allCategories + ["No Voice"]
+
+            fig6 = px.bar(df6, x="files", y=chart_cols,
+                           title="Proportion of File Duration Spoken by Each Speaker/Role *")
             fig6.update_layout(yaxis_title="Proportion of File Duration")
             st.plotly_chart(fig6, use_container_width=True, config=cfg)
-            st.caption("Note: Overlaps between speakers of the same role are only counted once.")
-
-            df7, _ = utils.build_multifile_voice_df(validNames, st.session_state.summaries)
-            for sort_cols, ascending, title in [
-                (["Single Voice", "Multi Voice"], True,  "Cross-file Voice Categories sorted by Single Voice (least → most)"),
-                (["Multi Voice",  "Single Voice"], True,  "Cross-file Voice Categories sorted by Multi Voice (least → most)"),
-                (["No Voice",    "Multi Voice"], False, "Cross-file Voice Categories sorted by No Voice (most → least)"),
-            ]:
-                fig7 = px.bar(df7.sort_values(by=sort_cols, ascending=ascending),
-                              x="files", y=["Single Voice", "Multi Voice", "No Voice"],
-                              title=title)
-                fig7.update_layout(yaxis_title="Proportion of File Duration")
-                st.plotly_chart(fig7, use_container_width=True, config=cfg)
+            st.caption("* Note: Overlaps between speakers of the same role are only counted once.")
+
+            sort_options = {
+                "Single Voice (least → most)": (["Single Voice", "Multi Voice"], True),
+                "Multi Voice (least → most)":  (["Multi Voice",  "Single Voice"], True),
+                "No Voice (most → least)":     (["No Voice",     "Multi Voice"], False),
+            }
+            selected_sort = st.selectbox(
+                "Sort cross-file voice categories by:",
+                options=list(sort_options.keys()),
+                key="multifile_voice_sort",
+            )
+            sort_cols, ascending = sort_options[selected_sort]
+            fig7 = px.bar(
+                df7.sort_values(by=sort_cols, ascending=ascending),
+                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")
+            st.plotly_chart(fig7, use_container_width=True, config=cfg)