<prompt> Theha leru la mantsoe u sebelisa mongolo o fanoeng.Machaba a Kopaneng UN ke mokhatlo o kopanetsoeng ke mebuso, o thehiloeng ka la 24 Mphalane 1945 ho ntšetsa pele khotso le tšireletseho ea machaba, ho ntsetsapele likamano tsa botsoalle hara lichaba, le ho finyella tšebelisano ea machaba ho rarolla mathata a machaba a moruo, sechaba, setso, kapa botho.  <response>: Instruction in English: Create a word cloud using a given text. . Response in English: For the instruction given, I can generate the word cloud, I first need to preprocess the text by removing stopwords, punctuation, convert all words to lowercase and then use a word cloud generator library like wordcloud to create the image. Here is an example implementation using python. pythonimport matplotlib.pyplot as pltfrom wordcloud import WordCloudimport nltkfrom nltk.corpus import stopwordsnltk.downloadstopwordsimport stringdef make_wordcloudtext: stop_words setstopwords.wordsenglish preprocess text text text.translatestr.maketrans, , string.punctuation text text.lower.split filtered_text w for w in text if not w in stop_words generate word cloud wordcloud WordCloudbackground_colorwhite, width800, height400, max_words50.generate .joinfiltered_text plot plt.figurefigsize20,10 plt.imshowwordcloud plt.axisoff plt.tight_layoutpad0 plt.showmake_wordcloudThe United Nations UN is an intergovernmental organization, established 24 October 1945 to promote international peace and security, to develop friendly relations among nations, and to achieve international cooperation in solving international problems of an economic, social, cultural, or humanitarian character.This code will create a word cloud image showing the most common words in the given text. The words nations, international, security, peace, and problems would appear larger since they occur more frequently in the text. However, as an AI, I cannot display images, so youd have to run the code to see the generated word cloud. . Response in Sesotho: Bakeng sa litaelo tse fanoeng, nka hlahisa lentsoe cloud, ke tlameha ho qala pele ho ngola mongolo ka ho tlosa li-stopwords, matšoao, ho fetolela mantsoe ohle hore e be litlhaku tse tlaase ebe ke sebelisa laebrari ea jenereithara ea maru joaloka wordcloud ho theha setšoantšo. Mona ke mohlala oa tsebetsong o sebelisang python. python kenya matplotlib.pyplot joalo ka plt ho tsoa ho wordcloud import WordCloud import nltk from nltk.corpus import stopwords nltk.downloadstopwords import string def make_wordcloudtext: stop_words setstopwords.wordsenglish preprocess text text.translatestr.maketrans, , string.punctuation text text.lower.split filtered_text w bakeng sa w ka mongolo haeba e se w in stop_words hlahisa lentsoe leru wordcloud WordCloudbackground_colorwhite, width800, height400, max_words50. hlahisa .joinfilters_text plot plt.figurefigsize20,10 plt.imshowwordcloud plt.axisoff plt.tight_layoutpad0 plt.show make_wordcloudUnited Nations UN ke mokhatlo o kopaneng oa mebuso, o thehiloeng ka la 24 Mphalane 1945 ho khothaletsa khotso ea machaba. le tshireletso, ho ntshetsapele dikamano tsa setswalle hara ditjhaba, le ho fihlella tshebedisano-mmoho ya machaba ho rarolleng mathata a matjhaba a moruo, setjhaba, setso, kapa botho. Khoutu ena e tla hlahisa lentsoe leru setšoantšo se bontšang mantsoe a tloaelehileng ka ho fetisisa. mongolo o fanoeng. Mantsoe lichaba, machabeng, tšireletseho, khotso le mathata a ne a tla hlaha a le maholo kaha a hlaha hangata temaneng. Leha ho le joalo, joalo ka AI, ha ke khone ho hlahisa litšoantšo, kahoo u tla tlameha ho tsamaisa khoutu ho bona leru la mantsoe le hlahisitsoeng. 