Update app.py

app.py

@@ -136,12 +136,16 @@ for j, tab in enumerate(audio_tabs):
             ax1.spines.top.set_visible(False)
         
             
+            pred_colors = su.colors(lecturer_pred_count)
+            for j, row in enumerate(lecturer_speaker_list):
+                ax1.broken_barh(row, ((j+1)*5-1, 3), facecolors =(pred_colors[j]))
+            
             # Setting ticks on y-axis (5,10,15,...)
             step = 5
             ax1.set_yticks(list(range(step,(lecturer_pred_count+1)*step,step)))
             # Labelling tickes of y-axis ('1','2','3',...)
             pred_tick_list = [1,2]
-            ax1.set_yticklabels(["Lectuerer","Audience"])
+            ax1.set_yticklabels(["Lecturer","Audience"])
             start, end = ax1.get_xlim()
             # Stepsize of 1 minute by default
             stepSize = 60
@@ -155,10 +159,6 @@ for j, tab in enumerate(audio_tabs):
             # Setting graph attribute
             ax1.grid(True)
             
-            pred_colors = su.colors(lecturer_pred_count)
-            for j, row in enumerate(lecturer_speaker_list):
-                ax1.broken_barh(row, ((j+1)*5-1, 3), facecolors =(pred_colors[j]))
-            
             f.set_figheight(1)
             f.set_figwidth(10)
             
@@ -166,7 +166,6 @@ for j, tab in enumerate(audio_tabs):
             
             df = pd.DataFrame(
                 {
-                    "Speaker": ["Lecturer", "Audience"],
                     "Time spoken": ["{}h:{:02d}m:{:02d}s".format(int(lecturer_speaker_times[0]/3600),
                                                                 int((lecturer_speaker_times[0]%3600)/60),
                                                                  int(lecturer_speaker_times[0]%60)), 
@@ -179,7 +178,10 @@ for j, tab in enumerate(audio_tabs):
                     ],
                 }
             )
-            
+            df.style \
+              .format_index(str.upper, axis=1) \
+              .relabel_index(["Lecturer", "Audience"], axis=0) \
+              .set_properties({"background-color": "white"])
             tab.write("Total length of audio: {}h:{:02d}m:{:02d}s".format(int(totalSeconds/3600),int((totalSeconds%3600)/60),int(totalSeconds%60)))
             tab.table(df)
             #tab.write("Lecturer spoke: {}h:{:02d}m:{:02d}s -> {:.2f}% of time".format(int(lecturer_speaker_times[0]/3600),
@@ -237,6 +239,10 @@ for j, tab in enumerate(audio_tabs):
                     "Percentage": ["{:.2f}%".format(100*sp/totalSeconds) for sp in all_speaker_times],
                 }
             )
+            df.style \
+              .format_index(str.upper, axis=1) \
+              .relabel_index([f"speaker {sp}" for sp in range(len(all_speaker_times))], axis=0) \
+              .set_properties({"background-color": "white"])
             
             tab.write("Total length of audio: {}h:{:02d}m:{:02d}s".format(int(totalSeconds/3600),int((totalSeconds%3600)/60),int(totalSeconds%60)))
             tab.table(df)