from .model import MODEL
from .handler import handle_file, handle_url
from .labels import CLASS_LABELS



def predict_model(img_array, n_top_guesses:int = 10):
    class_prob = MODEL.predict(img_array)
    top_values_index = (-class_prob).argsort()[0][:n_top_guesses]
    top_guesses = [CLASS_LABELS[i].title() for i in top_values_index]
    return top_guesses


def predict_file(file):
    handled_array = handle_file(file)
    return predict_model(handled_array)



def predict_url(url: str):
    handled_array = handle_url(url)
    return predict_model(handled_array)