How to use the gradio.preprocessing_utils.resize_and_crop function in gradio

def preprocess(self, inp):
        """
        Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
        """
        im = preprocessing_utils.decode_base64_to_image(inp)
        im = im.convert('RGB')
        im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
        array = np.array(im).flatten().reshape(1, self.image_width, self.image_height, self.num_channels)
        return array

def preprocess(self, inp):
        """
        Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
        """
        im = preprocessing_utils.decode_base64_to_image(inp)
        im = im.convert('RGB')
        im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
        array = np.array(im).flatten().reshape(1, self.image_width, self.image_height, self.num_channels)
        return array

def preprocess(self, inp):
        """
        Default preprocessing method for the SketchPad is to convert the sketch to black and white and resize 28x28
        """
        im = preprocessing_utils.decode_base64_to_image(inp)
        im = im.convert('L')
        if self.invert_colors:
            im = ImageOps.invert(im)
        im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
        if self.flatten:
            array = np.array(im).flatten().reshape(1, self.image_width * self.image_height)
        else:
            array = np.array(im).flatten().reshape(1, self.image_width, self.image_height)
        array = array * self.scale + self.shift
        array = array.astype(self.dtype)
        return array