Update app.py

app.py

@@ -9,9 +9,16 @@ dictionary=PyDictionary()
 def get_output(event_info):
   if len(event_info.split(' '))>=20:
       topic_name, distance_name,topic_name_dep, distance_name_dep,tags_list  = get_mapping(event_info)
-      work_list, keywords_2  = extract_topics(event_info)
-      work_list = [i for i in work_list if bool(dictionary.meaning(i))]
-      others = []
+      if distance_name!=None:
+          sectors = topic_name + topic_name_dep
+          flat_list = [item.strip() for sublist in [x.split(' ') for x in sectors] for item in sublist]
+          others = [x for x in tags if x not in flat_list]
+          work_list = None
+      else:
+          others = []
+          work_list, keywords_2  = extract_topics(event_info)
+          work_list = [i for i in work_list if bool(dictionary.meaning(i))]
+          
       return topic_name+ ' '+str(distance_name), str(topic_name_dep) + ' '+str(distance_name_dep),tags_list, str(work_list), str(others)
   else:
       return 'Event discription should have >= 20 words', None, None, None,None
@@ -35,11 +42,11 @@ with gradio.Blocks(theme = 'gradio/monochrome', title = 'Keyword clustering Demo
             
         output_sec = gradio.outputs.Textbox(label="Mapped sector and score")
         output_dep = gradio.outputs.Textbox(label="Mapped industry and score")
-        output_tags= gradio.outputs.Textbox(label="Identified tags")
+        output_tags= gradio.outputs.Textbox(label="Identified tags (All)")
         
         with gradio.Row():
             output_keybert = gradio.outputs.Textbox(label="Identified keywords (1 word)")
-            output_other_tags = gradio.outputs.Textbox(label="Identified other tags")
+            output_other_tags = gradio.outputs.Textbox(label="Identified other tags (not in sector /industry) ")