'Assert Text Error, AssertionError: No text to speak
I'm working on a project that uses voice assistant to query information stored in my sql database but I keep getting this error. The voice assistant is able to display the instructions and commands but cannot query the information from mysql. Such that if you tell it to "Show Databases" it brings up the assertion error.
AssertionError Traceback (most recent call last)
<ipython-input-68-055b51b54c64> in <module>
62 txt=query_engine(str(guess["transcription"]) + " Task Achieved successfuly !")
63 print(txt)
---> 64 speak(txt)
65 else:
66 print("Sorry, I can't perform what you have said . Please try again! ")#.format(word))
<ipython-input-4-66497e4d6f75> in speak(text)
1 def speak(text):
----> 2 tts = gTTS(text=text, lang="en",slow = False)
3 filename = str(random.choice(list(text)))+str(random.randint(1,100))+".mp3"
4 tts.save(filename)
5 playsound.playsound(filename)
~\anaconda3\lib\site-packages\gtts\tts.py in __init__(self, text, tld, lang, slow, lang_check, pre_processor_funcs, tokenizer_func)
132
133 # Text
--> 134 assert text, "No text to speak"
135 self.text = text
136
AssertionError: No text to speak
Any help will be greatly appreciated. I am using python and mysql
import os
import time
import playsound
import speech_recognition as sr
from gtts import gTTS
import mysql.connector as sql
import random
import pandas as pd
def speak(text):
tts = gTTS(text=text, lang="en",slow = False)
filename = str(random.choice(list(text)))+str(random.randint(1,100))+".mp3"
tts.save(filename)
playsound.playsound(filename)
def connection(status):
if status:
resp=("Yes! your Connection Estabilished .\n"
"Now go head to explore your data world ! \n")
print(resp)
speak(resp)
print(commands)
else:
print("There is a problem with Data Server, I am unable to reach it.")
speak("There is a problem with Data Server, I am unable to reach it.")
exit(0)
def db_connect():
try:
db_connection = sql.connect(host='localhost', database='', user='root', password='ecell123')
if db_connection:
return(db_connection)
else:
# resp="Oh! sorry, something went Wrong! while estabilshing the Connection with Database"
# print(resp)
# speak(resp)
return(False)
except:
connection(False)
def query_engine(query):
def show_dbs():
if 'connect to database' not in recorded:
speak('Please wait ! I am estabilishing secure connection to database !')
print('Please wait ! I am estabilishing secure connection to database !')
if db_connect() :
recorded.append('connect to database')
sce=db_connect()
db_cursor = sce.cursor()
db_cursor.execute('show databases')
table_rows = db_cursor.fetchall()
df = pd.DataFrame(table_rows)
speak("Here is the list of Databases available in your store. ")
print(df)
return df.values.tolist()
else:
if db_connect() is not False:
#global db_connection
sce=db_connect()
db_cursor = sce.cursor()
db_cursor.execute('show databases')
table_rows = db_cursor.fetchall()
df = pd.DataFrame(table_rows)
speak("Here is the list of Databases available in your store. ")
print(df)
return df.values.tolist()
else:
exit(0)
def db_select():
rows=show_dbs()
l=[]
for i in range(len(rows)):
l.append(rows[i][0])
#print("rows",l)
print("Please Select any one of the given databases")
speak("You can select any one of the given databases")
return l
def db_selected():
rows=db_select()
for i in range(5):
dbname=ask()
#print(rows)
if dbname in rows :
print("Yes ,", dbname, " Database is in given list !")
speak("Yes ,"+ dbname + " Database is in given list !")
break
else:
print(dbname, " Not matched in given databases list")
speak(dbname+ " Not matched in given databases list")
db_connection2 = sql.connect(host='localhost', database=dbname, user='root', password='ecell123')
if db_connection2:
print("{} Selected. Now you can access the TABLES".format(dbname))
speak(str(dbname)+ " Selected . Now you can access the TABLES. ")
return db_connection2, dbname
def show_tables():
conn,dtbname=db_selected()
if conn is not False:
#global db_connection
db_cursor = conn.cursor()
db_cursor.execute('show tables')
table_rows1 = db_cursor.fetchall()
df1 = pd.DataFrame(table_rows1)
speak("Here is the list of Tables available in "+ dtbname+ " Database.")
print(df1)
return df1.values.tolist(),conn
else:
exit(0)
if query == 'connect to database':
if query not in recorded:
if db_connect():
connection(True)
recorded.append(query)
else:
print(' Hey! Cool. I already did that :)- ')
speak(' Hey! Cool. I already did that !')
if query == 'show databases':
show_dbs()
if query == 'select database':
db_selected()
if query == "show tables":
show_tables()
if query =='show table data':
table,conn=show_tables()
tables=[]
for i in range(len(table)):
tables.append(table[i][0])
print("tables",tables)
for i in range(5):
tbname=ask()
#print(rows)
if tbname in tables :
print("Right! ", tbname, " table is in given list")
speak("Right! "+tbname+" Table is in given list")
break
else:
print(tbname," Not matched in given Tables list")
speak(tbname +" Not matched in given Tables list")
db_cursor = conn.cursor()
qry= 'select * from '+tbname
db_cursor.execute(qry)
table_rows2 = db_cursor.fetchall()
df2 = pd.DataFrame(table_rows2)
speak("Here is the Data of the "+ tbname+" Table available in your database.")
print(df2)
return query
def recognize_speech_from_mic(recognizer, microphone):
"""Transcribe speech from recorded from `microphone`.
Returns a dictionary with three keys:
"success": a boolean indicating whether or not the API request was
successful
"error": `None` if no error occured, otherwise a string containing
an error message if the API could not be reached or
speech was unrecognizable
"transcription": `None` if speech could not be transcribed,
otherwise a string containing the transcribed text
"""
# check that recognizer and microphone arguments are appropriate type
if not isinstance(recognizer, sr.Recognizer):
raise TypeError("`recognizer` must be `Recognizer` instance")
if not isinstance(microphone, sr.Microphone):
raise TypeError("`microphone` must be `Microphone` instance")
# adjust the recognizer sensitivity to ambient noise and record audio
# from the microphone
with microphone as source:
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
# set up the response object
response = {
"success": True,
"error": None,
"transcription": None
}
# try recognizing the speech in the recording
# if a RequestError or UnknownValueError exception is caught,
# update the response object accordingly
try:
response["transcription"] = recognizer.recognize_google(audio)
except sr.RequestError:
# API was unreachable or unresponsive
response["success"] = False
response["error"] = "API unavailable"
except sr.UnknownValueError:
# speech was unintelligible
response["error"] = "Unable to recognize speech"
return response
instructions = (
"Hi There! I am your Database Interaction Voice Assistant:\n"
"I love to help you to get the data available in Database storages.\n"
"I'm pleased to say, You can check the following example instructions.\n "
)
commands=(
" --- Connect to Database \n"
" --- Show Databases \n"
" --- Select Database [Name] \n"
" --- Show TABLES \n"
" --- Show TABLE Data \n"
" --- Say abort or end or terminate to exit \n"
)
# show instructions and wait 2 seconds before starting the game
print(instructions)
print(commands)
speak(instructions)
db_connect()
time.sleep(2)
def ask () :
recognizer1 = sr.Recognizer()
microphone1 = sr.Microphone()
for j in range(5):
speak("I'm Listening ....")
print("Speak : I'm Listening .... for Table/DB Name ")
guess = recognize_speech_from_mic(recognizer1, microphone1)
if guess["transcription"]:
break
if not guess["success"]:
break
speak("Sorry. I didn't catch that. What did you say?")
print("I didn't catch that. What did you say?\n")
# if there was an error, stop the game
if guess["error"]:
print("ERROR: {}".format(guess["error"]))
exit()
# show the user the transcription
print("You said: {}".format(guess["transcription"]))
return(guess['transcription'].lower())
if __name__ == "__main__":
recorded=[]
queries=[ 'connect to database',
"show databases",
"select database",
"show tables",
"show table data"]
# create recognizer and mic instances
recognizer = sr.Recognizer()
microphone = sr.Microphone()
while True:
for j in range(5):
speak("Please Speak. I'm Listening ....")
print("Speak {}. I'm Listening .... ".format(j+1))
guess = recognize_speech_from_mic(recognizer, microphone)
if guess["transcription"]:
break
if not guess["success"]:
break
speak("Sorry. I didn't catch that. What did you say?")
print("I didn't catch that. What did you say?\n")
# if there was an error, stop the game
if guess["error"]:
print("ERROR: {}".format(guess["error"]))
break
# show the user the transcription
print("You said: {}".format(guess["transcription"]))
# determine if guess is correct and if any attempts remain
if guess["transcription"] is not None:
guess_is_correct = guess["transcription"].lower() in queries # "Connect to Database".lower()
if guess["transcription"].lower() in ('abort', 'end', 'terminate'):
speak( " Thanks for Using. Have a Good day !")
print( " Thanks for Using. Have a Good day !")
break
if guess_is_correct:
txt=query_engine(guess["transcription"])
print(txt)
speak(txt)
else:
print("Sorry, I can't perform what you have said . Please try again! ")#.format(word))
speak("Sorry, I can't perform what you have said . Please try again!")
Solution 1:[1]
if guess_is_correct:
txt=query_engine(guess["transcription"])
print(txt)
speak(txt)
"speak" expects "txt" to be a string and not none.
Check what does query_engine(guess["transcription"]) returns.
If print(guess["transcription"]) prints "show databases" then you're passing a list and not a string
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Nik Owa |