Update app.py

app.py

@@ -4,6 +4,7 @@ from bokeh .models import CustomJS #line:3:from bokeh.models import CustomJS
 from streamlit_bokeh_events import streamlit_bokeh_events #line:4:from streamlit_bokeh_events import streamlit_bokeh_events
 import pandas as pd #line:6:import pandas as pd
 import numpy as np #line:7:import numpy as np
+import xlrd
 from nltk .stem import SnowballStemmer #line:8:from nltk.stem import SnowballStemmer
 from inflector import Inflector ,English ,Spanish #line:9:from inflector import Inflector, English, Spanish
 inflector =Inflector (Spanish )#line:10:inflector = Inflector(Spanish)
@@ -161,6 +162,9 @@ if query !="none":#line:86:if query!="salir":
             indexmax =np .argwhere (count_words ==np .amax (count_words ))#line:219:indexmax = np.argwhere(count_words == np.amax(count_words))
             all_zeros =not np .any (indexmax )#line:220:all_zeros = not np.any(indexmax)
             #st .text (count_words )#line:222:st.text(count_words)
+
+            df = xlrd.open_workbook('preguntas_qh_tags2.xlsx')
+            df = df.sheet_by_index(0)
             if not np .all (count_words ==0 ):#line:224:if not np.all(count_words==0):
                 for indexin in indexmax :#line:226:for indexin in indexmax:
                     
@@ -168,7 +172,7 @@ if query !="none":#line:86:if query!="salir":
                     #st .text (count_words [indexin ])#line:229:st.text(count_words[indexin])
                   
                     st .text ("Si has preguntado...\n")#line:230:st.text("Si has preguntado...\n")
-                    st .text (df .iloc [indexin ,2])#line:231:st.text(df.iloc[indexin,2])
+                    st .text (df.cell(int(indexin)+1,2))#line:231:st.text(df.iloc[indexin,2])
                     st .text ("La respuesta es...\n")#line:232:st.text("La respuesta es...\n")
-                    st .text (df .iloc [indexin ,3])#line:233:st.text(df.iloc[indexin,3]) 
+                    st .text (df.cell(int(indexin)+1,3))#line:233:st.text(df.iloc[indexin,3]) 
 print ("GRACIAS!")