Translator.py

# Importing necessary modules required
from playsound import playsound
import speech_recognition as sr
from googletrans import Translator
from gtts import gTTS  # google text to speech api
import os  # to save the audio file
import pyttsx3  # conversion of text to speech
from langdetect import detect  # to know what language was used
import pycountry

# A tuple containing all the language - codes of the language will be detected
all_languages = (
    "afrikaans",
    "af",
    "albanian",
    "sq",
    "amharic",
    "am",
    "arabic",
    "ar",
    "armenian",
    "hy",
    "azerbaijani",
    "az",
    "basque",
    "eu",
    "belarusian",
    "be",
    "bengali",
    "bn",
    "bosnian",
    "bs",
    "bulgarian",
    "bg",
    "catalan",
    "ca",
    "cebuano",
    "ceb",
    "chichewa",
    "ny",
    "chinese (simplified)",
    "zh-cn",
    "chinese (traditional)",
    "zh-tw",
    "corsican",
    "co",
    "croatian",
    "hr",
    "czech",
    "cs",
    "danish",
    "da",
    "dutch",
    "nl",
    "english",
    "en",
    "esperanto",
    "eo",
    "estonian",
    "et",
    "filipino",
    "tl",
    "finnish",
    "fi",
    "french",
    "fr",
    "frisian",
    "fy",
    "galician",
    "gl",
    "georgian",
    "ka",
    "german",
    "de",
    "greek",
    "el",
    "gujarati",
    "gu",
    "haitian creole",
    "ht",
    "hausa",
    "ha",
    "hawaiian",
    "haw",
    "hebrew",
    "he",
    "hindi",
    "hi",
    "hmong",
    "hmn",
    "hungarian",
    "hu",
    "icelandic",
    "is",
    "igbo",
    "ig",
    "indonesian",
    "id",
    "irish",
    "ga",
    "italian",
    "it",
    "japanese",
    "ja",
    "javanese",
    "jw",
    "kannada",
    "kn",
    "kazakh",
    "kk",
    "khmer",
    "km",
    "korean",
    "ko",
    "kurdish (kurmanji)",
    "ku",
    "kyrgyz",
    "ky",
    "lao",
    "lo",
    "latin",
    "la",
    "latvian",
    "lv",
    "lithuanian",
    "lt",
    "luxembourgish",
    "lb",
    "macedonian",
    "mk",
    "malagasy",
    "mg",
    "malay",
    "ms",
    "malayalam",
    "ml",
    "maltese",
    "mt",
    "maori",
    "mi",
    "marathi",
    "mr",
    "mongolian",
    "mn",
    "myanmar (burmese)",
    "my",
    "nepali",
    "ne",
    "norwegian",
    "no",
    "odia",
    "or",
    "pashto",
    "ps",
    "persian",
    "fa",
    "polish",
    "pl",
    "portuguese",
    "pt",
    "punjabi",
    "pa",
    "romanian",
    "ro",
    "russian",
    "ru",
    "samoan",
    "sm",
    "scots gaelic",
    "gd",
    "serbian",
    "sr",
    "sesotho",
    "st",
    "shona",
    "sn",
    "sindhi",
    "sd",
    "sinhala",
    "si",
    "slovak",
    "sk",
    "slovenian",
    "sl",
    "somali",
    "so",
    "spanish",
    "es",
    "sundanese",
    "su",
    "swahili",
    "sw",
    "swedish",
    "sv",
    "tajik",
    "tg",
    "tamil",
    "ta",
    "telugu",
    "te",
    "thai",
    "th",
    "turkish",
    "tr",
    "ukrainian",
    "uk",
    "urdu",
    "ur",
    "uyghur",
    "ug",
    "uzbek",
    "uz",
    "vietnamese",
    "vi",
    "welsh",
    "cy",
    "xhosa",
    "xh",
    "yiddish",
    "yi",
    "yoruba",
    "yo",
    "zulu",
    "zu",
)


engine = pyttsx3.init("sapi5")
voices = engine.getProperty("voices")
engine.setProperty("voice", voices[1].id)


def speak(audio):
    engine.say(audio)
    engine.runAndWait()


def getLangName(lang_code):
    language = pycountry.languages.get(alpha_2=lang_code)
    return language.name


# Capture Voice
# takes command through microphone
def takecommand():
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print("listening.....")
        r.pause_threshold = 1
        audio = r.listen(source)

    try:
        print("Recognizing.....")
        query = r.recognize_google(audio, language="en-in")
        print(f"The User said {query}\n")
    except Exception as e:
        print("say that again please.....")
        return "None"
    return query


print("Welcome to the translator! ")
speak("Welcome to the translator! ")
print("Say the sentence you want to translate once you see the word 'listening'")

# Input from user and make input to lowercase
query = takecommand()
while query == "None":
    query = takecommand()

from_lang = detect(query)
print("The user's sentence is in ", getLangName(from_lang))


def destination_language():
    print(
        "Enter the language in which you	want to convert : Ex. Hindi , English , Spanish, etc."
    )
    print()

    # Input destination language in
    # which the user wants to translate
    to_lang = takecommand()
    while to_lang == "None":
        to_lang = takecommand()
    to_lang = to_lang.lower()
    return to_lang


to_lang = destination_language()

# Mapping it with the code
while to_lang not in all_languages:
    print(
        "Language in which you are trying	to convert is currently not available, please input some other language"
    )
    print()
    to_lang = destination_language()

to_lang = all_languages[all_languages.index(to_lang) + 1]

# invoking Translator
#translator = google_translator()

# Translating from src to dest
translator = Translator(service_urls=['translate.googleapis.com'])
text_to_translate=translator.translate( query , dest= to_lang )

#text_to_translate = translator.translate(query, dest= to_lang)

text = text_to_translate.text


# try:
#    searchbox_result = re.match("^.*(?=(\())", searchbox).group()
# except AttributeError:
#    searchbox_result = re.match("^.*(?=(\())", searchbox)

# Using Google-Text-to-Speech ie, gTTS() method to speak the translated text into the destination language which is stored in to_lang.
# Also, we have given 3rd argument as False because by default it speaks very slowly
speak = gTTS(text=text, lang=to_lang, slow=False)

# Using save() method to save the translated speech in capture_voice.mp3
speak.save("audioCap.mp3")

# Using OS module to run the translated voice.
playsound("audioCap.mp3")
os.remove("audioCap.mp3")

# Printing Output
print(text)