fix small bug

handler.py

@@ -413,9 +413,9 @@ def run_math_density(transcript):
     for word in student_math_word_cloud.keys():
         student_dict_list.append(
             {'text': word, 'value': student_math_word_cloud[word], 'category': "math"})        
-    # sorted_dict_list = sorted(dict_list, key=lambda x: x['value'], reverse=True)
+    sorted_dict_list = sorted(dict_list, key=lambda x: x['value'], reverse=True)
     # return sorted_dict_list[:50]
-    return teacher_dict_list, student_dict_list
+    return sorted_dict_list, teacher_dict_list, student_dict_list
 
 class EndpointHandler():
     def __init__(self, path="."):
@@ -471,7 +471,7 @@ class EndpointHandler():
         del focusing_question_model
         
         transcript.update_utterance_roles(uptake_speaker)
-        teacher_math_cloud, student_math_cloud = run_math_density(transcript)
+        sorted_math_cloud, teacher_math_cloud, student_math_cloud = run_math_density(transcript)
         transcript.calculate_aggregate_word_count()
         return_dict = {'talkDistribution': None, 'talkLength': None, 'talkMoments': None, 'commonTopWords': None, 'uptakeTopWords': None, 'mathTopWords': None, 'studentTopWords': None, 'teacherTopWords': None}
         talk_dist, talk_len = transcript.get_talk_distribution_and_length(uptake_speaker)
@@ -482,7 +482,7 @@ class EndpointHandler():
         word_cloud, uptake_word_cloud, teacher_general_cloud, student_general_cloud = transcript.get_word_clouds()
         return_dict['commonTopWords'] = word_cloud
         return_dict['uptakeTopWords'] = uptake_word_cloud
-        return_dict['mathTopWords'] = math_cloud
+        return_dict['mathTopWords'] = sorted_math_cloud
         teacher_cloud = teacher_math_cloud + teacher_general_cloud
         student_cloud = student_math_cloud + student_general_cloud
         return_dict['teacherTopWords'] = teacher_cloud