<prompt> Kujenga API ambayo inachukua maandishi kama input na anarudi hisia alama.  <response>: 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. 