<prompt> Theha API e nkang mongolo e le mongolo me e khutlisa lintlha tsa maikutlo.nan  <response>: Instruction in English: Create an API that takes a text as an input and returns the sentiment score. . Response in English: Here is an example of a simple API that takes a text as an input and returns the sentiment score using Python and Flask.pythonfrom flask import Flask, jsonify, requestfrom textblob import TextBlobapp Flask__name__app.routesentiment, methodsPOSTdef sentiment: data request.get_json text data.gettext if not text: return jsonifyerror: Missing text parameter blob TextBlobtext sentiment_score blob.sentiment.polarity return jsonifysentiment_score: sentiment_scoreif __name__ __main__: app.runThis API uses the TextBlob library to calculate the sentiment polarity of the given text. The sentiment polarity is a float within the range -1.0, 1.0 where -1.0 represents a negative sentiment and 1.0 represents a positive sentiment.The API has one endpoint, sentiment, which accepts POST requests. The request body needs to contain a JSON object with a text key, which holds the text to analyze. The response is a JSON object with a sentiment_score key, which holds the calculated sentiment score. If the text parameter is missing, the response will contain an error key with an error message.To use this API, you need to run this script on a server and send POST requests to the sentiment endpoint with a JSON body containing the text to analyze. For example:POST Content-Type: applicationjson text: I love this productThe response will be a JSON object with the sentiment score: sentiment_score: 0.5This is a simple example to illustrate how an API that calculates the sentiment of a text could work. You can expand this API with additional features, such as custom sentiment analysis algorithms or support for multiple languages. . Response in Sesotho: Mohlala ke ona oa API e bonolo e nkang mongolo e le kenyelletso le ho khutlisa lintlha tsa maikutlo ho sebelisa Python le Flask. python ho tsoa ho flask import Flask, jsonify, kopa ho tsoa ho textblob import TextBlob app Flask__name__ app.route maikutlo, mekhoaPOST def sentiment: data request.get_json mongolo data.gettext haeba e se mongolo: khutlisetsa jsonifyphoso: Paramethara ea mongolo e sieo blob TextBlobmongolo sentiment_score blob.sentiment.polarity return jsonifysentiment_score : sentiment_score haeba __name__ __main__: app.run API ena e sebelisa laebrari ea TextBlob ho bala polarity ea maikutlo a mongolo o fanoeng. Polarity ea maikutlo ke phaphametseng ka hara mefuta -1.0, 1.0 moo -1.0 e emelang maikutlo a fosahetseng me 1.0 e emela maikutlo a nepahetseng. API e na le ntlha e le ngoe, maikutlo, a amohelang likopo tsa POST. Sehlopha sa kopo se hloka ho ba le ntho ea JSON e nang le konopo ea text, e tšoereng mongolo o lokelang ho hlahlojoa. Karabo ke ntho ea JSON e nang le senotlolo sa sentiment_score, se nang le lintlha tse baliloeng tsa maikutlo. Haeba parameter ea text e le sieo, karabo e tla ba le konopo ea phoso e nang le molaetsa oa phoso. Ho sebelisa API ena, o hloka ho sebelisa mongolo ona ho seva ebe o romela likopo tsa POST ho maikutlo ka sehlopha sa JSON se nang le mongolo o lokelang ho hlahlojoa. Mohlala: POST Content-Type: applicationjson text: Ke rata sehlahisoa sena Karabo e tla ba ntho ea JSON e nang le lintlha tsa maikutlo: sentiment_score: 0.5 Ona ke mohlala o bonolo ho hlakisa hore na API e balang maikutlo a mongolo e ka sebetsa joang. O ka holisa API ena ka likarolo tse ling, joalo ka tlhahlobo ea maikutlo a tloaelo kapa tšehetso bakeng sa lipuo tse ngata. 