gradio-clickable-arrow-dropdown 0.0.2

Dropdown component where clicking arrow on the side displays dropdown options

gradio_clickable_arrow_dropdown

Dropdown component where clicking arrow on the side displays dropdown options

Installation

pip install gradio_clickable_arrow_dropdown

Usage

import gradio as gr
from gradio_clickable_arrow_dropdown import ClickableArrowDropdown

def handle_inputs(reg_dropdown_val, custom_dropdown_val):
    res = f"""
    Regular dropdown value: {reg_dropdown_val}
    Custom dropdown value: {custom_dropdown_val}
    """

    return res

choices = ["Option 1", "Option 2", "Option 3"]

demo = gr.Interface(
    handle_inputs,
    [gr.Dropdown(choices=choices, value=choices[0], filterable=False), ClickableArrowDropdown(choices=choices, value=choices[0], filterable=False)],
    gr.Textbox(),
)


if __name__ == "__main__":
    demo.launch()

ClickableArrowDropdown

Initialization

name	type	default	description
choices	list[str | int | float | tuple[str, str | int | float]] | None	None	A list of string options to choose from. An option can also be a tuple of the form (name, value), where name is the displayed name of the dropdown choice and value is the value to be passed to the function, or returned by the function.
value	str | int | float | list[str | int | float] | Callable | None	None	default value(s) selected in dropdown. If None, no value is selected by default. If callable, the function will be called whenever the app loads to set the initial value of the component.
type	"value" | "index"	"value"	Type of value to be returned by component. "value" returns the string of the choice selected, "index" returns the index of the choice selected.
multiselect	bool | None	None	if True, multiple choices can be selected.
allow_custom_value	bool	False	If True, allows user to enter a custom value that is not in the list of choices.
max_choices	int | None	None	maximum number of choices that can be selected. If None, no limit is enforced.
filterable	bool	True	If True, user will be able to type into the dropdown and filter the choices by typing. Can only be set to False if `allow_custom_value` is False.
label	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.
info	str | None	None	additional component description.
every	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. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
show_label	bool | None	None	if True, will display label.
container	bool	True	If True, will place the component in a container - providing some extra padding around the border.
scale	int | None	None	relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width	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	bool | None	None	if True, choices in this dropdown will be selectable; if False, selection will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
visible	bool	True	If False, component will be hidden.
elem_id	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	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	bool	True	If False, component will not be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.

Events

name	description
change	Triggered when the value of the ClickableArrowDropdown changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See .input() for a listener that is only triggered by user input.
input	This listener is triggered when the user changes the value of the ClickableArrowDropdown.
select	Event listener for when the user selects or deselects the ClickableArrowDropdown. Uses event data gradio.SelectData to carry value referring to the label of the ClickableArrowDropdown, and selected to refer to state of the ClickableArrowDropdown. See EventData documentation on how to use this event data
focus	This listener is triggered when the ClickableArrowDropdown is focused.
blur	This listener is triggered when the ClickableArrowDropdown is unfocused/blurred.
key_up	This listener is triggered when the user presses a key while the ClickableArrowDropdown is focused.

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.

• As output: Is passed, passes the value of the selected dropdown choice as a str | int | float or its index as an int into the function, depending on type. Or, if multiselect is True, passes the values of the selected dropdown choices as a list of correspoding values/indices instead.
• As input: Should return, expects a str | int | float corresponding to the value of the dropdown entry to be selected. Or, if multiselect is True, expects a list of values corresponding to the selected dropdown entries.

def predict(
    value: str
   | int
   | float
   | list[str | int | float]
   | list[int | None]
   | None
) -> str | int | float | list[str | int | float] | None:
    return value