Update app.py

app.py

@@ -50,12 +50,12 @@ if result :#line:66:if result:
         
 if query !="none":#line:86:if query!="salir":
         
-        st .text ("query: "+query )#line:81:st.text("query: "+query)
+        #st .text ("query: "+query )#line:81:st.text("query: "+query)
         query =query .lower ()#line:82:query = query.lower()
         if query !="salir":#line:87:if query!="none":
-            st .text ("query: "+query )#line:89:st.text("query: "+query)
+            #st .text ("query: "+query )#line:89:st.text("query: "+query)
             result =query .split ()#line:90:result=query.split()
-            st .text ("query: "+query )#line:91:st.text("query: "+query)
+            #st .text ("query: "+query )#line:91:st.text("query: "+query)
             df2 =[]#line:92:df2=[]
             for index ,row in df .iterrows ():#line:93:for index,row in df.iterrows():
                 list_words =df .loc [index ,'TAGS2']#line:96:list_words=df.loc[index,'TAGS2']#busca columna tag2
@@ -65,7 +65,7 @@ if query !="none":#line:86:if query!="salir":
             list_words =[]#line:104:list_words=[]
             for indexw ,word in enumerate (result ):#line:105:for indexw, word in enumerate(result):
                 result [indexw ]=inflector .singularize (str (word ))#line:106:result[indexw]=inflector.singularize(str(word))
-            st .text ("result:"+str (result ))#line:107:st.text("result:" + str(result))
+            #st .text ("result:"+str (result ))#line:107:st.text("result:" + str(result))
             count_words =np .zeros (len (df .index ),dtype =int )#line:108:count_words = np.zeros(len(df.index), dtype=int)
             for index1 ,row in enumerate (df2 ):#line:109:for index1,row in enumerate(df2):
                 ls4 =[]#line:112:ls4=[]