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"""gr.Dropdown() component."""
from __future__ import annotations
import warnings
from typing import Any, Callable, Literal
from gradio_client.documentation import document
from gradio.components.base import FormComponent
from gradio.events import Events
@document()
class Dropdown(FormComponent):
"""
Creates a dropdown of choices from which a single entry or multiple entries can be selected (as an input component) or displayed (as an output component).
Demos: sentence_builder
"""
EVENTS = [
Events.change,
Events.input,
Events.select,
Events.focus,
Events.blur,
Events.key_up,
]
def __init__(
self,
choices: list[str | int | float | tuple[str, str | int | float]] | None = None,
*,
value: str | int | float | list[str | int | float] | Callable | None = None,
type: Literal["value", "index"] = "value",
multiselect: bool | None = None,
allow_custom_value: bool = False,
max_choices: int | None = None,
filterable: bool = True,
label: str | None = None,
info: str | None = None,
every: float | None = None,
show_label: bool | None = None,
container: bool = True,
scale: int | None = None,
min_width: int = 160,
interactive: bool | None = None,
visible: bool = True,
elem_id: str | None = None,
elem_classes: list[str] | str | None = None,
render: bool = True,
key: int | str | None = None,
):
"""
Parameters:
choices: 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: 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: 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: if True, multiple choices can be selected.
allow_custom_value: If True, allows user to enter a custom value that is not in the list of choices.
max_choices: maximum number of choices that can be selected. If None, no limit is enforced.
filterable: 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: 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: additional component description.
every: 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: if True, will display label.
container: If True, will place the component in a container - providing some extra padding around the border.
scale: 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: 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: 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: If False, component will be hidden.
elem_id: 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: 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: 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.
"""
self.choices = (
# Although we expect choices to be a list of tuples, it can be a list of tuples if the Gradio app
# is loaded with gr.load() since Python tuples are converted to lists in JSON.
[tuple(c) if isinstance(c, (tuple, list)) else (str(c), c) for c in choices]
if choices
else []
)
valid_types = ["value", "index"]
if type not in valid_types:
raise ValueError(
f"Invalid value for parameter `type`: {type}. Please choose from one of: {valid_types}"
)
self.type = type
self.multiselect = multiselect
if multiselect and isinstance(value, str):
value = [value]
if not multiselect and max_choices is not None:
warnings.warn(
"The `max_choices` parameter is ignored when `multiselect` is False."
)
if not filterable and allow_custom_value:
filterable = True
warnings.warn(
"The `filterable` parameter cannot be set to False when `allow_custom_value` is True. Setting `filterable` to True."
)
self.max_choices = max_choices
self.allow_custom_value = allow_custom_value
self.filterable = filterable
super().__init__(
label=label,
info=info,
every=every,
show_label=show_label,
container=container,
scale=scale,
min_width=min_width,
interactive=interactive,
visible=visible,
elem_id=elem_id,
elem_classes=elem_classes,
render=render,
key=key,
value=value,
)
def api_info(self) -> dict[str, Any]:
if self.multiselect:
json_type = {
"type": "array",
"items": {"type": "string", "enum": [c[1] for c in self.choices]},
}
else:
json_type = {
"type": "string",
"enum": [c[1] for c in self.choices],
}
return json_type
def example_payload(self) -> Any:
if self.multiselect:
return [self.choices[0][1]] if self.choices else []
else:
return self.choices[0][1] if self.choices else None
def example_value(self) -> Any:
if self.multiselect:
return [self.choices[0][1]] if self.choices else []
else:
return self.choices[0][1] if self.choices else None
def preprocess(
self, payload: str | int | float | list[str | int | float] | None
) -> str | int | float | list[str | int | float] | list[int | None] | None:
"""
Parameters:
payload: the value of the selected dropdown choice(s)
Returns:
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.
"""
if self.type == "value":
return payload
elif self.type == "index":
choice_values = [value for _, value in self.choices]
if payload is None:
return None
elif self.multiselect:
if not isinstance(payload, list):
raise TypeError("Multiselect dropdown payload must be a list")
return [
choice_values.index(choice) if choice in choice_values else None
for choice in payload
]
else:
return (
choice_values.index(payload) if payload in choice_values else None
)
else:
raise ValueError(
f"Unknown type: {self.type}. Please choose from: 'value', 'index'."
)
def _warn_if_invalid_choice(self, value):
if self.allow_custom_value or value in [value for _, value in self.choices]:
return
warnings.warn(
f"The value passed into gr.Dropdown() is not in the list of choices. Please update the list of choices to include: {value} or set allow_custom_value=True."
)
def postprocess(
self, value: str | int | float | list[str | int | float] | None
) -> str | int | float | list[str | int | float] | None:
"""
Parameters:
value: 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.
Returns:
Returns the values of the selected dropdown entry or entries.
"""
if value is None:
return None
if self.multiselect:
if not isinstance(value, list):
value = [value]
[self._warn_if_invalid_choice(_y) for _y in value]
else:
self._warn_if_invalid_choice(value)
return value
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