Update app.py

app.py

@@ -113,7 +113,7 @@ for i, tab in enumerate(audio_tabs):
             pred_count = len(sortedSpeakerList)
             lecturer_speaker_list,_ = su.twoClassExtendAnnotation(annotations)
             lecturer_pred_count = 2
-            totalSeconds = 9049
+            totalSeconds = 10000
             lecturer_speaker_times = []
             for j,speaker in enumerate(lecturer_speaker_list):
                 lecturer_speaker_times.append(0)
@@ -268,20 +268,20 @@ with st.spinner(text='Processing summary results...'):
         for ssm in st.session_state.summaries:
             if len(ssm) > 0:
                 valid_summaries.append(ssm)
-        st.info(f'{valid_summaries}')
+        #st.info(f'{[ssm[0] for ssm in enumerate(valid_summaries)]}')
         lecturer_data = pd.DataFrame({
             'ds' : range(summary_count) ,
-            'y' : [100*ssm[1][0]/ssm[0] for ssm in enumerate(valid_summaries)]
+            'y' : [100*ssm[1][0]/ssm[0] for ssm in valid_summaries]
                                      
         })
         audience_data = pd.DataFrame({
             'ds' : range(summary_count) ,
-            'y' : [100*ssm[1][1]/ssm[0] for ssm in enumerate(valid_summaries)]
+            'y' : [100*ssm[1][1]/ssm[0] for ssm in valid_summaries]
                                      
         })
         speaker_data = pd.DataFrame({
             'ds' : range(summary_count) ,
-            'y' : [len(ssm[2]) for ssm in enumerate(valid_summaries)]
+            'y' : [len(ssm[2]) for ssm in valid_summaries]
                                      
         })
         fig_la = px.line(lecturer_data, x="ds", y="y", color_discrete_sequence=["#0514C0"], labels={'y': 'Lecturer Time'})