Update app.py

app.py

@@ -449,9 +449,9 @@ try:
         speakers_times = st.session_state.summaries[currFileIndex]["speakers_times"]
        
         # generate plotting window
-        fig1 = go.Figure()
+        fig1 = go.Figure(title="Percentage of each Voice Category",)
         fig1.add_trace(go.Pie(values=df3["values"],labels=df3["names"]))
-        fig2 = go.Figure()
+        fig2 = go.Figure(title="Percentage of Speakers and Custom Categories",)
         fig2.add_trace(go.Pie(values=df4["values"],labels=df4["names"]))
         fig3_1 = px.sunburst(df5,
                             branchvalues = 'total',
@@ -461,6 +461,7 @@ try:
                             values = "percentiles",
                             custom_data=['labels','valueStrings','percentiles','parentNames','parentPercentiles'],
                             color = 'labels',
+                            title="Percentage of each Voice Category with Speakers",
                             )
         fig3_1.update_traces(
             hovertemplate="<br>".join([
@@ -479,7 +480,8 @@ try:
                         values = "percentiles",
                         custom_data=['labels','valueStrings','percentiles','parentNames','parentPercentiles'],
                         color='labels',
-                        )
+                        title="Division of Speakers in each Voice Category",
+                         )
         fig3.update_traces(
             hovertemplate="<br>".join([
                 '<b>%{customdata[0]}</b>',
@@ -495,7 +497,7 @@ try:
         st.plotly_chart(fig3, use_container_width=True)
 
 
-        fig_la = px.timeline(speakers_dataFrame, x_start="Start", x_end="Finish", y="Resource", color="Resource")
+        fig_la = px.timeline(speakers_dataFrame, x_start="Start", x_end="Finish", y="Resource", color="Resource",title="Timeline of Audio with Speakers")
         fig_la.update_yaxes(autorange="reversed") 
         
         hMax = int(currTotalTime//3600)
@@ -520,7 +522,7 @@ try:
         st.plotly_chart(fig_la, use_container_width=True)
         
         fig2_la = px.bar(df2, x="values", y="names", color="names", orientation='h',
-                        custom_data=["names","values"])
+                        custom_data=["names","values"],title="Time Spoken by each Speaker")
         fig2_la.update_xaxes(ticksuffix="%")
         fig2_la.update_yaxes(autorange="reversed") 
         fig2_la.update_layout(
@@ -593,13 +595,13 @@ if len(st.session_state.results) > 0:
                     df7_dict[voiceNames[i]].append(partialDf["percentiles"][i])
             df7 = pd.DataFrame(df7_dict)
             sorted_df7 = df7.sort_values(by=['One Voice', 'Multi Voice'])
-            summFig2 = px.bar(sorted_df7, x="files", y=["One Voice","Multi Voice","No Voice",],key="sumOMN_chart")
+            summFig2 = px.bar(sorted_df7, x="files", y=["One Voice","Multi Voice","No Voice",],title="Cross-file Voice Categories sorted for One Voice")
             st.plotly_chart(summFig2, use_container_width=True)
             sorted_df7_3 = df7.sort_values(by=['Multi Voice','One Voice'])
-            summFig3 = px.bar(sorted_df7_3, x="files", y=["One Voice","Multi Voice","No Voice",],key="sumMON_chart")
+            summFig3 = px.bar(sorted_df7_3, x="files", y=["One Voice","Multi Voice","No Voice",],title="Cross-file Voice Categories sorted for Multi Voice")
             st.plotly_chart(summFig3, use_container_width=True)
             sorted_df7_4 = df7.sort_values(by=['No Voice', 'Multi Voice'],ascending=False)
-            summFig4 = px.bar(sorted_df7_4, x="files", y=["One Voice","Multi Voice","No Voice",],key="sumNMO_chart")
+            summFig4 = px.bar(sorted_df7_4, x="files", y=["One Voice","Multi Voice","No Voice",],title="Cross-file Voice Categories sorted for Any Voice")
             st.plotly_chart(summFig4, use_container_width=True)