#!/usr/bin/env python3
# https://github.com/Uberi/speech_recognition/blob/master/examples/audio_transcribe.py

import speech_recognition as sr
import sys
from termcolor import cprint, colored
from os import path
import random

a1 = sys.argv[1] #same as $1 so when you run python3 audio_transcribe.py FOO ... argv[1] is FOO
# print ("transcribing", a1, file=sys.stderr)
AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), a1) # before it was english.wav


# use the audio file as the audio source
r = sr.Recognizer()
with sr.AudioFile(AUDIO_FILE) as source:
    audio = r.record(source)  # read the entire audio file

color = ["white", "yellow"]
on_color = ["on_red", "on_magenta", "on_blue", "on_grey"]

# recognize speech using Sphinx
try:
    cprint( r.recognize_sphinx(audio), random.choice(color), random.choice(on_color))
    # print( r.recognize_sphinx(audio))
except sr.UnknownValueError:
    print("uknown")
except sr.RequestError as e:
    print("Sphinx error; {0}".format(e))

# sleep (1)

# Copyright (c) 2018, Angeliki Diakrousi <diakaggel@gmail.com>
# Copyright (c) 2014-2017, Anthony Zhang <azhang9@gmail.com>
# All rights reserved.

# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:

# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.

# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
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# may be used to endorse or promote products derived from this software without
# specific prior written permission.

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