The Guide Robot

from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
import logging
import wave
import pyaudio
import time

logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)$
                    level=logging.INFO)

logger = logging.getLogger(__name__)

def start(bot, update):
        update.message.reply_text('select your wav file:\n insert /first for fi$

def first(bot, update):
        chunk = 1024
        f = wave.open(r"/home/pi/Desktop/Text.wav","rb")
        p = pyaudio.PyAudio()
        stream = p.open(format = p.get_format_from_width(f.getsampwidth()),
                channels = f.getnchannels(),
                rate = f.getframerate(),
                output = True)
        data = f.readframes(chunk)

        while data:
                stream.write(data)
                data = f.readframes(chunk)

        stream.stop_stream()
        stream.close()

        p.terminate()
        update.message.reply_text('The ROBOT explained about MONALISA painting.')
        
def second(bot, update):
        chunk = 1024
        f = wave.open(r"/home/pi/Desktop/Text1.wav","rb")
        p = pyaudio.PyAudio()
        stream = p.open(format = p.get_format_from_width(f.getsampwidth()),
                channels = f.getnchannels(),
                rate = f.getframerate(),
                output = True)
        data = f.readframes(chunk)

        while data:
                stream.write(data)
                data = f.readframes(chunk)

        stream.stop_stream()
        stream.close()
        p.terminate()
        update.message.reply_text('The ROBOT explained about THE WEEPING WOMAN painting.')
        
def third(bot, update):
        chunk = 1024
        f = wave.open(r"/home/pi/Desktop/Text2.wav","rb")
        p = pyaudio.PyAudio()
        stream = p.open(format = p.get_format_from_width(f.getsampwidth()),
                channels = f.getnchannels(),
                rate = f.getframerate(),
                output = True)
        data = f.readframes(chunk)

        while data:
                stream.write(data)
                data = f.readframes(chunk)

        stream.stop_stream()
        stream.close()
        p.terminate()
        update.message.reply_text('The ROBOT explained about THE SCREAM painting.')

def echo(bot, update):
        update.message.reply_text(update.message.text)


def error(bot, update, error):
        logger.warning('Update "%s" caused error "%s"', update, error)


def main():
        updater = Updater("470332284:AAEEJIXN5FRtxeVg5hMpDKMasIc1aVZOfEQ")
        dp = updater.dispatcher
        dp.add_handler(CommandHandler("start", start))
        dp.add_handler(CommandHandler("first", first))
        dp.add_handler(CommandHandler("second", second))
        dp.add_handler(CommandHandler("third", third))
        dp.add_handler(MessageHandler(Filters.text, echo))
        dp.add_error_handler(error)
        updater.start_polling()
        updater.idle()


if __name__ == '__main__':
        main()

from num2words import num2words
from subprocess import call


cmd_beg= 'espeak '
cmd_end= ' | aplay /home/pi/Desktop/Text1.wav  2>/dev/null' # To play back the $
cmd_out= '--stdout > /home/pi/Desktop/Text1.wav ' # To store the voice file

text = "The Weeping Woman, is an oil on canvas painted by Pablo Picasso in Fran$
print(text)

#Replacing ' ' with '_' to identify words in the text entered
text = text.replace(' ', '_')

#Calls the Espeak TTS Engine to read aloud a Text
call([cmd_beg+cmd_out+text+cmd_end], shell=True)