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Update app.py
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app.py
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import streamlit as st #line:1:import streamlit as st
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from bokeh .models .widgets import Button #line:2:from bokeh.models.widgets import Button
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from bokeh .models import CustomJS #line:3:from bokeh.models import CustomJS
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from streamlit_bokeh_events import streamlit_bokeh_events #line:4:from streamlit_bokeh_events import streamlit_bokeh_events
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import pandas as pd #line:6:import pandas as pd
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import numpy as np #line:7:import numpy as np
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from nltk .stem import SnowballStemmer #line:8:from nltk.stem import SnowballStemmer
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from inflector import Inflector ,English ,Spanish #line:9:from inflector import Inflector, English, Spanish
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inflector =Inflector (Spanish )#line:10:inflector = Inflector(Spanish)
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import unidecode #line:11:import unidecode
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import unicodedata #line:12:import unicodedata
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n =1 #line:13:n=1
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p =0 #line:14:p=0
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query="none"
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df =pd .read_excel ('preguntas_qh_tags2.xlsx',engine ="openpyxl")#line:15:df = pd.read_excel('preguntas_qh_tags2.xlsx',engine="openpyxl")
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def remove_accents (O0O00OO0O000OOO0O ):#line:17:def remove_accents(input_str):
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O000O0OO000000OOO =unicodedata .normalize ('NFKD',O0O00OO0O000OOO0O )#line:18:nfkd_form = unicodedata.normalize('NFKD', input_str)
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return u"".join ([O0O000O00O00O00OO for O0O000O00O00O00OO in O000O0OO000000OOO if not unicodedata .combining (O0O000O00O00O00OO )])#line:19:return u"".join([c for c in nfkd_form if not unicodedata.combining(c)])
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stt_button =Button (label ="Speak")#line:25:stt_button = Button(label="Speak")#, width=100)
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stt_button .js_on_event ("button_click",CustomJS (code ="""
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var recognition = new webkitSpeechRecognition();
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recognition.lang = "es-ES";
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recognition.continuous = true;
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recognition.interimResults = true;
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recognition.onresult = function (e) {
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var value = "";
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for (var i = e.resultIndex; i < e.results.length; ++i) {
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if (e.results[i].isFinal) {
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value += e.results[i][0].transcript;
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}
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}
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if ( value != "") {
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document.dispatchEvent(new CustomEvent("GET_TEXT", {detail: value}));
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}
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}
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recognition.start();
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"""))#line:47:"""))
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result =streamlit_bokeh_events (stt_button ,events ="GET_TEXT",key ="listen",refresh_on_update =False ,override_height =75 ,debounce_time =0 )#line:56:debounce_time=0)
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placeholder =st .empty ()#line:59:placeholder = st.empty()
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placeholder .text ("Escuchando...")#line:62:placeholder.text("Escuchando...")
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if result :#line:66:if result:
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if "GET_TEXT"in result :#line:67:if "GET_TEXT" in result:
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placeholder .text ("Entendido!")#line:69:placeholder.text("Entendido!")
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st .text ("Entendido!")#line:70:st.text("Entendido!")
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placeholder .empty ()#line:72:placeholder.empty()
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st .write (result .get ("GET_TEXT"))#line:74:st.write(result.get("GET_TEXT"))
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query =result .get ("GET_TEXT")#line:80:query=result.get("GET_TEXT")
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if query !="none":#line:86:if query!="salir":
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st .text ("query: "+query )#line:81:st.text("query: "+query)
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query =query .lower ()#line:82:query = query.lower()
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if query !="salir":#line:87:if query!="none":
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st .text ("query: "+query )#line:89:st.text("query: "+query)
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result =query .split ()#line:90:result=query.split()
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st .text ("query: "+query )#line:91:st.text("query: "+query)
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df2 =[]#line:92:df2=[]
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for index ,row in df .iterrows ():#line:93:for index,row in df.iterrows():
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list_words =df .loc [index ,'TAGS2']#line:96:list_words=df.loc[index,'TAGS2']#busca columna tag2
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list_words =list_words .split (",")#line:97:list_words = list_words.split(",")
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df2 .append (list_words )#line:98:df2.append(list_words)
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ls5 =[]#line:103:ls5=[]
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list_words =[]#line:104:list_words=[]
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for indexw ,word in enumerate (result ):#line:105:for indexw, word in enumerate(result):
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result [indexw ]=inflector .singularize (str (word ))#line:106:result[indexw]=inflector.singularize(str(word))
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st .text ("result:"+str (result ))#line:107:st.text("result:" + str(result))
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count_words =np .zeros (len (df .index ),dtype =int )#line:108:count_words = np.zeros(len(df.index), dtype=int)
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for index1 ,row in enumerate (df2 ):#line:109:for index1,row in enumerate(df2):
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ls4 =[]#line:112:ls4=[]
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for word in row :#line:123:for word in row :
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if word !=[]:#line:126:if word!=[]:
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for num in range (100 ):#line:128:for num in range (100):
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num =num /10 #line:130:num=num/10
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num =str (num )#line:131:num=str(num)
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if word ==num :#line:133:if word==num:
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num =num .split (".")#line:135:num = num.split(".")
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ls4 .append (num [0 ])#line:137:ls4.append(num[0])
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ls4 .append ("con")#line:139:ls4.append("con")
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ls4 .append (num [1 ])#line:140:ls4.append(num[1])
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p =p +1 #line:141:p=p+1
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if p ==0 :#line:143:if p==0:
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ls4 .append (word )#line:144:ls4.append(word)
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p =0 #line:145:p=0
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ls5 .append (ls4 )#line:146:ls5.append(ls4)
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if str (remove_accents (ls5 [index1 ][0 ]))==remove_accents (result [0 ]):#line:150:if str(remove_accents(ls5[index1][0]))==remove_accents(result[0]):# and ls[1]==first_word:
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for resulted in result [1 :]:#line:152:for resulted in result[1:]:
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for index2 ,word in enumerate (ls5 [index1 ][1 :]):#line:158:for index2,word in enumerate(ls5[index1][1:]) :
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if str (resulted )=="exactitec"or str (resulted )=="exactite"or str (resulted )=="exactec":#line:159:if str(resulted)=="h":
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resulted ="exactech"
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if str (resulted )=="h":#line:159:if str(resulted)=="h":
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resulted ="dh"#line:160:resulted="dh"
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if str (resulted )=="colón":#line:161:if str(resulted)=="colón":
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resulted ="coron"#line:162:resulted="coron"
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if str (resulted )=="trave"or str (resulted )=="travé":#line:163:if str(resulted)=="trave" or str(resulted)=="travé":
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resulted ="nope"#line:164:resulted="nope"
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if str (resulted )=="lasersolvo"or str (resulted )=="lásersolvo"or str (resulted )=="lásersolbo"or str (resulted )=="lasersolbo":#line:165:if str(resulted)=="lasersolvo"or str(resulted)=="lásersolvo"or str(resulted)=="lásersolbo"or str(resulted)=="lasersolbo":
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resulted ="solvo"#line:166:resulted="solvo"
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if str (resulted )=="solbo":#line:167:if str(resulted)=="solbo":
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resulted ="solvo"#line:168:resulted="solvo"
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if str (resulted )=="maya":#line:169:if str(resulted)=="maya":
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resulted ="malla"#line:170:resulted="malla"
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if str (resulted )=="pilos"or str (resulted )=="pilo":#line:171:if str(resulted)=="pilos"or str(resulted)=="pilo":
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resulted ="philo"#line:172:resulted="philo"
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if str (resulted )=="filos"or str (resulted )=="filo":#line:173:if str(resulted)=="filos"or str(resulted)=="filo":
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resulted ="philo"#line:174:resulted="philo"
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if str (resulted )=="sinces"or str (resulted )=="sinc":#line:175:if str(resulted)=="sinces" or str(resulted)=="sinc":
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resulted ="synthe"#line:176:resulted="synthe"
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if str (resulted )=="sintes"or str (resulted )=="sint":#line:177:if str(resulted)=="sintes" or str(resulted)=="sint":
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resulted ="synthe"#line:178:resulted="synthe"
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if str (resulted )=="axos"or str (resulted )=="axo":#line:179:if str(resulted)=="axos" or str(resulted)=="axo":
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resulted ="axso"#line:180:resulted="axso"
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if str (resulted )=="uno":#line:181:if str(resulted)=="uno":
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resulted ="1"#line:182:resulted="1"
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if str (resulted )=="dos"or str (resulted )=="do":#line:184:if str(resulted)=="dos" or str(resulted)=="do":
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resulted ="2"#line:185:resulted="2"
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if str (resulted )=="tres"or str (resulted )=="tr":#line:187:if str(resulted)=="tres" or str(resulted)=="tr":
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resulted ="3"#line:188:resulted="3"
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if str (resulted )=="cuatro"or str (resulted )=="cuatr":#line:190:if str(resulted)=="cuatro"or str(resulted)=="cuatr":
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resulted ="4"#line:191:resulted="4"
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if str (resulted )=="cinco"or str (resulted )=="cinc":#line:193:if str(resulted)=="cinco"or str(resulted)=="cinc":
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resulted ="5"#line:194:resulted="5"
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if str (resulted )=="seis"or str (resulted )=="sei":#line:196:if str(resulted)=="seis"or str(resulted)=="sei":
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resulted ="6"#line:197:resulted="6"
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if str (resulted )=="siete":#line:199:if str(resulted)=="siete":
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resulted ="7"#line:200:resulted="7"
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if str (resulted )=="ocho"or str (resulted )=="och":#line:202:if str(resulted)=="ocho"or str(resulted)=="och":
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resulted ="8"#line:203:resulted="8"
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if str (resulted )=="nueve"or str (resulted )=="nuev":#line:205:if str(resulted)=="nueve"or str(resulted)=="nuev":
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resulted ="9"#line:206:resulted="9"
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if str (resulted )=="cero":#line:208:if str(resulted)=="cero":
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resulted ="0"#line:209:resulted="0"
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if str (remove_accents (word )).lower ()==str (remove_accents (resulted )).lower ():#line:213:if str(remove_accents(word)).lower() == str(remove_accents(resulted)).lower():
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count_words [index1 ]=count_words [index1 ]+1 #line:216:count_words[index1]=count_words[index1]+1
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ls5 [index1 ].pop (index2 )#line:217:ls5[index1].pop(index2)
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indexmax =np .argwhere (count_words ==np .amax (count_words ))#line:219:indexmax = np.argwhere(count_words == np.amax(count_words))
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all_zeros =not np .any (indexmax )#line:220:all_zeros = not np.any(indexmax)
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#st .text (count_words )#line:222:st.text(count_words)
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if not np .all (count_words ==0 ):#line:224:if not np.all(count_words==0):
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for indexin in indexmax :#line:226:for indexin in indexmax:
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st .text (indexin )#line:228:st.text(indexin)
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st .text (count_words [indexin ])#line:229:st.text(count_words[indexin])
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st .text ("Si has preguntado...\n")#line:230:st.text("Si has preguntado...\n")
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st .text (df .iloc [indexin ,2 ])#line:231:st.text(df.iloc[indexin,2])
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st .text ("La respuesta es...\n")#line:232:st.text("La respuesta es...\n")
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st .text (df .iloc [indexin ,3 ])#line:233:st.text(df.iloc[indexin,3])
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print ("GRACIAS!")
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