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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def visualize_cloud_of_words(dictionary, image_path=None):
 """ Renders the cloud of words representation for a given dictionary of frequencies :param dictionary: the dictionary object that contains key-frequency pairs :param image_path: the path to the image mask, None if no masking is needed """

        from PIL import Image

        if image_path is not None:
            mask = np.array(Image.open(image_path))
            wc = WordCloud(mask=mask, background_color='white', width=1600, height=1200, prefer_horizontal=0.8)
            wc = wc.generate_from_frequencies(dictionary)
        else:
            # Generate a word cloud image
            wc = WordCloud(background_color='white', width=1600, height=1200, prefer_horizontal=0.8)
            wc = wc.generate_from_frequencies(dictionary)

        # Display the generated image:
        # the matplotlib way:
        import matplotlib.pyplot as plt
        plt.rcParams['figure.figsize'] = (15, 15)
        plt.imshow(wc, interpolation='bilinear')
        plt.axis("off")
        plt.show()