# `gradio_imagefeed` Static Badge A vertical feed of images which gets updated as a generater yields a new image. ## Installation ```bash pip install gradio_imagefeed ``` ## Usage ```python import gradio as gr from gradio_imagefeed import ImageFeed import time from PIL import Image, ImageFilter import os image = Image.open(os.path.join(os.path.dirname(__file__), "butterfly.png")) blurred_images = [image.filter(ImageFilter.GaussianBlur(5-i)) for i in range(5)] def fake_unblur(steps=5): for i in range(steps): yield blurred_images[i] time.sleep(1) yield image with gr.Blocks() as demo: with gr.Row(): imagefeed = ImageFeed(label="Generated Images") button = gr.Button("Start Generating") button.click(fake_unblur, inputs=None, outputs=imagefeed) if __name__ == "__main__": demo.launch() ``` ## `ImageFeed` ### Initialization
name type default description
value ```python str | _Image.Image | np.ndarray | None ``` None A PIL ImageFeed, numpy array, path or URL for the default value that ImageFeed component is going to take. If callable, the function will be called whenever the app loads to set the initial value of the component.
height ```python int | str | None ``` None The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.
width ```python int | str | None ``` None The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.
image_mode ```python Literal[ "1", "L", "P", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F", ] ``` "RGB" "RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.
sources ```python list[Literal["upload", "webcam", "clipboard"]] | None ``` None List of sources for the image. "upload" creates a box where user can drop an image file, "webcam" allows user to take snapshot from their webcam, "clipboard" allows users to paste an image from the clipboard. If None, defaults to ["upload", "webcam", "clipboard"] if streaming is False, otherwise defaults to ["webcam"].
type ```python Literal["numpy", "pil", "filepath"] ``` "numpy" The format the image is converted before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned.
label ```python str | None ``` None The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
every ```python float | None ``` None If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. Queue must be enabled. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
show_label ```python bool | None ``` None if True, will display label.
show_download_button ```python bool ``` True If True, will display button to download image.
container ```python bool ``` True If True, will place the component in a container - providing some extra padding around the border.
scale ```python int | None ``` None relative width compared to adjacent Components in a Row. For example, if Component A has scale=2, and Component B has scale=1, A will be twice as wide as B. Should be an integer.
min_width ```python int ``` 160 minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
interactive ```python bool | None ``` None if True, will allow users to upload and edit an image; if False, can only be used to display images. If not provided, this is inferred based on whether the component is used as an input or output.
visible ```python bool ``` True If False, component will be hidden.
streaming ```python bool ``` False If True when used in a `live` interface, will automatically stream webcam feed. Only valid is source is 'webcam'.
elem_id ```python str | None ``` None An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes ```python list[str] | str | None ``` None An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render ```python bool ``` True If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
mirror_webcam ```python bool ``` True If True webcam will be mirrored. Default is True.
show_share_button ```python bool | None ``` None If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.
### User function The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both). - When used as an Input, the component only impacts the input signature of the user function. - When used as an output, the component only impacts the return signature of the user function. The code snippet below is accurate in cases where the component is used as both an input and an output. ```python def predict( value: np.ndarray | _Image.Image | str | None ) -> np.ndarray | _Image.Image | str | Path | None: return value ```