language_detector_cli_1.py
"""" THIS SCRIPT IS USING langdetect """ # import the detect function from langdetect from langdetect import detect # openning the txt file in read mode sentences_file = open('sentences.txt', 'r') # creating a list of sentences using the readlines() function sentences = sentences_file.readlines() # a function for detection language def detect_langauage(sentence, n): """try and except block for catching exception errors""" # the try will run when everything is ok try: # checking if the sentence[n] exists if sentences[n]: # creating a new variable, the strip() function removes newlines new_sentence = sentences[n].strip('\n') print(f'The language for the sentence "{new_sentence}" is {detect(new_sentence)}') # this will catch all the errors that occur except: print(f'Sentence does not exist') # printing the the number of sentences in the sentences.txt print(f'You have {len(sentences)} sentences') # this will prompt the user to enter an integer number_of_sentence = int(input('Which sentence do you want to detect?(Provide an integer please):')) # calling the detect_langauage function detect_langauage(sentences_file, number_of_sentence)language_detector_cli_2.py
"""" THIS SCRIPT IS USING langid """ import langid # openning the txt file in read mode sentences_file = open('sentences.txt', 'r') # creating a list of sentences using the readlines() function sentences = sentences_file.readlines() # looping through all the sentences in thesentences.txt file for sentence in sentences: # detecting the languages for the sentences lang = langid.classify(sentence) # formatting the sentence by removing the newline characters formatted_sentence = sentence.strip('\n') print(f'The sentence "{formatted_sentence}" is in {lang[0]}')language_detector_cli_3.py
"""" THIS SCRIPT IS USING googletrans """ # importing the Translator function from googletrans from googletrans import Translator # initializing the translator object translator = Translator() # openning the txt file in read mode sentences_file = open('sentences.txt', 'r') # creating a list of sentences using the readlines() function sentences = sentences_file.readlines() # a function for detection language def detect_langauage(sentence, n): """try and except block for catching exception errors""" # the try will run when everything is ok try: # checking if the sentence[n] exists if sentences[n]: # creating a new variable, the strip() function removes newlines new_sentence = sentences[n].strip('\n') # detecting the sentence language using the translator.detect() # .lang extract the language code detected_sentence_lang = translator.detect(new_sentence).lang print(f'The language for the sentence "{new_sentence}" is {detected_sentence_lang}') # this will catch all the errors that occur except: print(f'Make sure the sentence exists or you have internet connection') print(f'You have {len(sentences)} sentences') # this will prompt the user to enter an integer number_of_sentence = int(input('Which sentence do you want to detect?(Provide an integer please):')) # calling the detect_langauage function detect_langauage(sentences_file, number_of_sentence)language_detector_cli_4.py
"""" THIS SCRIPT IS USING language_detector """ # importing the language detector from language_detector import detect_language # definig the function for detecting the language # the function takes text as an argument def detectLanguage(text): # detecting the language using the detect_language function language = detect_language(text) print(f'"{text}" is written in {language}') # an infinite while while loop while True: # this will prompt the user to enter options option = input('Enter 1 to detect language or 0 to exit:') if option == '1': # this will prompt the user to enter the text data = input('Enter your sentence or word here:') # calling the detectLanguage function detectLanguage(data) # if option is 0 break the loop elif option == '0': print('Quitting........\nByee!!!') break # if option isnt 1 or 0 then its invalid else: print('Wrong input, try again!!!')Join 50,000+ Python Programmers & Enthusiasts like you!
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