Build a KNN classifier in Python. The classifier should be able to, using data from a CSV file like the image below, predict the type of iris based on the sepal length and width (the parts of the calyx) and the petal length and width, in centimeters. Submission should include an executable Python file that accepts input of 4 floating point numbers representing, respectively, sepal length, sepal width, petal length, and petal width.

Sepallength, Sepalwidth,Petallength,Petalwidth, Name 5.1,3.5,1.4,0.2, Iris-setosa 4.9,3,1.4,0.2, Iris-setosa 4.7,3.2,1.3,0.2,Iris-setosa 4.6,3.1,1.5,0.2, Iris-setosa 5,3.6,1.4,0.2, Iris-setosa 5.4,3.9,1.7,0.4,Iris-setosa 4.6,3.4,1.4,0.3, Iris-setosa 5,3.4,1.5,0.2, Iris-setosa 4.4,2.9,1.4,0.2, Iris-setosa 4.9,3.1,1.5,0.1, Iris-setosa 5.4,3.7,1.5,0.2, Iris-setosa 4.8,3.4,1.6,0.2, Iris-setosa 4.8,3,1.4,0.1, Iris-setosa 4.3,3,1.1,0.1, Iris-setosa 5.8,4,1.2,0.2, Iris-setosa 5.7,4.4,1.5,0.4, Iris-setosa 5.4,3.9,1.3,0.4, Iris-setosa 5.1,3.5,1.4,0.3, Iris-setosa 5.7,3.8,1.7,0.3,Iris-setosa 5.1,3.8,1.5,0.3, Iris-setosa 5.4,3.4,1.7,0.2, Iris-setosa