Update app.py

app.py

@@ -10,20 +10,13 @@ nlp = spacy.load("en_core_web_sm")
 def text_analysis(text):
     doc = nlp(text)
     dependency_parsing = displacy.render(doc, style="dep", page=True)
-    named_entity_recognition = displacy.render(doc, style="ent",jupyter=False, page=True)
     
     visual1 = (
         "<div style='max-width:100%; overflow:auto'>"
         + dependency_parsing
         + "</div>"
     )
-    
-    visual2 = (
-        "<div style='max-width:100%; overflow:auto'>"
-        + named_entity_recognition
-        + "</div>"
-    )
-  
+      
     rows = []
     for token in doc:
         rows.append((token.text, token.lemma_, token.pos_, token.tag_, token.dep_,
@@ -31,7 +24,7 @@ def text_analysis(text):
   
     table = pd.DataFrame(rows, columns = ["TEXT", "LEMMA","POS","TAG","DEP","SHAPE","ALPHA","STOP"])
 
-    return table, visual2, visual1
+    return table, visual1
 
 
 demo = gr.Interface(