Update app.py

app.py

@@ -261,30 +261,34 @@ with st.spinner(text='Processing summary results...'):
         if len(su) > 0:
             summary_count += 1
 
-
-    lecturer_data = pd.DataFrame({
-        'ds' : range(summary_count) ,
-        'y' : [100*ssm[1][0]/ssm[0] for ssm in enumerate(st.session_state.summaries)]
-                                 
-    })
-    audience_data = pd.DataFrame({
-        'ds' : range(summary_count) ,
-        'y' : [100*ssm[1][1]/ssm[0] for ssm in enumerate(st.session_state.summaries)]
-                                 
-    })
-    speaker_data = pd.DataFrame({
-        'ds' : range(summary_count) ,
-        'y' : [len(ssm[2]) for ssm in enumerate(st.session_state.summaries)]
-                                 
-    })
-    fig_la = px.line(lecturer_data, x="ds", y="y", color_discrete_sequence=["#0514C0"], labels={'y': 'Lecturer Time'})
-    fig_la.add_scatter(x=audience_data['ds'], y=audience_data['y'], mode='lines', name='Audience Time', line=dict(color='#4CC005'))
-    fig_la.update_layout(title='Percentage of Time Speaking for Lecturer and Audience', xaxis_title='File', yaxis_title='Percent Time Spoken')
-    st.plotly_chart(fig_la, use_container_width=True)
-
-    fig_spc = px.line(speaker_data, x="ds", y="y", color_discrete_sequence=["#0514C0"], labels={'y': 'Speaker Count'})
-    fig_spc.update_layout(title='Number of Distinct Speakers over Time', xaxis_title='File', yaxis_title='# of Distinct Speakers')
-    st.plotly_chart(fig_spc, use_container_width=True)
+    if summary_count > 1:
+        valid_summaries = []
+        for ssm in st.session_state.summaries:
+            if len(ssm) > 0:
+                valid_summaries.append(ssm)
+        lecturer_data = pd.DataFrame({
+            'ds' : range(summary_count) ,
+            'y' : [100*ssm[1][0]/ssm[0] for ssm in enumerate(valid_summaries)]
+                                     
+        })
+        audience_data = pd.DataFrame({
+            'ds' : range(summary_count) ,
+            'y' : [100*ssm[1][1]/ssm[0] for ssm in enumerate(valid_summaries)]
+                                     
+        })
+        speaker_data = pd.DataFrame({
+            'ds' : range(summary_count) ,
+            'y' : [len(ssm[2]) for ssm in enumerate(valid_summaries)]
+                                     
+        })
+        fig_la = px.line(lecturer_data, x="ds", y="y", color_discrete_sequence=["#0514C0"], labels={'y': 'Lecturer Time'})
+        fig_la.add_scatter(x=audience_data['ds'], y=audience_data['y'], mode='lines', name='Audience Time', line=dict(color='#4CC005'))
+        fig_la.update_layout(title='Percentage of Time Speaking for Lecturer and Audience', xaxis_title='File', yaxis_title='Percent Time Spoken')
+        st.plotly_chart(fig_la, use_container_width=True)
+    
+        fig_spc = px.line(speaker_data, x="ds", y="y", color_discrete_sequence=["#0514C0"], labels={'y': 'Speaker Count'})
+        fig_spc.update_layout(title='Number of Distinct Speakers over Time', xaxis_title='File', yaxis_title='# of Distinct Speakers')
+        st.plotly_chart(fig_spc, use_container_width=True)
 
     
 userid = st.text_input("user id:", "Guest")