Update app.py

app.py

@@ -139,9 +139,9 @@ def analyze(inFileName):
             
             df3 = pd.DataFrame(
                 {
-                    "values": [sumTimes(noVoice),
-                                sumTimes([n for _,n in oneVoice]),
-                                sumTimes([n for _,n in multiVoice])],
+                    "values": [su.sumTimes(noVoice),
+                                su.sumTimes([n for _,n in oneVoice]),
+                                su.sumTimes([n for _,n in multiVoice])],
                     "names": ["No Voice","One Voice","Multi Voice"],
                 }
             )
@@ -175,12 +175,12 @@ def analyze(inFileName):
             df4.name = "df4"
             st.session_state.summaries[currFileIndex]["df4"] = df4'''
             
-            speakerList,timeList = sumTimesPerSpeaker(oneVoice)
-            multiSpeakerList, multiTimeList = sumMultiTimesPerSpeaker(multiVoice)
+            speakerList,timeList = su.sumTimesPerSpeaker(oneVoice)
+            multiSpeakerList, multiTimeList = su.sumMultiTimesPerSpeaker(multiVoice)
             summativeMultiSpeaker = sum(multiTimeList)
-            sumNoVoice = sumTimes(noVoice)
-            sumOneVoice = sumTimes([n for _,n in oneVoice])
-            sumMultiVoice = sumTimes([n for _,n in multiVoice])
+            sumNoVoice = su.sumTimes(noVoice)
+            sumOneVoice = su.sumTimes([n for _,n in oneVoice])
+            sumMultiVoice = su.sumTimes([n for _,n in multiVoice])
             basePercentiles = [sumNoVoice/currTotalTime,
                                  sumOneVoice/currTotalTime,
                                  sumMultiVoice/currTotalTime
@@ -543,7 +543,6 @@ else:
         pass
     
     if len(st.session_state.results) > 0:
-        st.info("In full summary results")
         with st.spinner(text='Processing summary results...'):
             fileNames = st.session_state.file_names
             results = []
@@ -577,7 +576,7 @@ else:
                     summary, extras = st.session_state.summaries[i]["categories"]
                     theseCategories = st.session_state.categories + extras
                     for j, timeSlots in enumerate(summary):
-                        df6_dict[theseCategories[j]].append(sumTimes([t for _,t in timeSlots])/st.session_state.results[i][2])
+                        df6_dict[theseCategories[j]].append(su.sumTimes([t for _,t in timeSlots])/st.session_state.results[i][2])
                     for category in allCategories:
                         if category not in theseCategories:
                             df6_dict[category].append(0)