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from __future__ import annotations
from collections.abc import Mapping, Sequence
from typing import TYPE_CHECKING, Literal, TypedDict
from gradio_client.documentation import document
from gradio.components.base import Component
from gradio.events import Events
if TYPE_CHECKING:
from gradio.components import Timer
class Parameter(TypedDict):
type: str
description: str
default: str | None
@document()
class ParamViewer(Component):
"""
Displays an interactive table of parameters and their descriptions and default values with syntax highlighting. For each parameter,
the user should provide a type (e.g. a `str`), a human-readable description, and a default value. As this component does not accept user input,
it is rarely used as an input component. Internally, this component is used to display the parameters of components in the Custom
Component Gallery (https://www.gradio.app/custom-components/gallery).
"""
EVENTS = [
Events.change,
Events.upload,
]
def __init__(
self,
value: Mapping[str, Parameter] | None = None,
language: Literal["python", "typescript"] = "python",
linkify: list[str] | None = None,
every: Timer | float | None = None,
inputs: Component | Sequence[Component] | set[Component] | None = None,
render: bool = True,
key: int | str | None = None,
header: str | None = "Parameters",
):
"""
Parameters:
value: A dictionary of dictionaries. The key in the outer dictionary is the parameter name, while the inner dictionary has keys "type", "description", and "default" for each parameter.
language: The language to display the code in. One of "python" or "typescript".
linkify: A list of strings to linkify. If any of these strings is found in the description, it will be rendered as a link.
every: Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.
inputs: Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.
render: 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.
key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.
header: The header to display above the table of parameters, also includes a toggle button that closes/opens all details at once. If None, no header will be displayed.
"""
self.value = value or {}
self.language = language
self.linkify = linkify
self.header = header
super().__init__(
every=every,
inputs=inputs,
value=value,
render=render,
key=key,
)
def preprocess(self, payload: dict[str, Parameter]) -> dict[str, Parameter]:
"""
Parameters:
payload: A `dict[str, dict]`. The key in the outer dictionary is the parameter name, while the inner dictionary has keys "type", "description", and "default" for each parameter.
Returns:
(Rarely used) passes value as a `dict[str, dict]`. The key in the outer dictionary is the parameter name, while the inner dictionary has keys "type", "description", and "default" for each parameter.
"""
return payload
def postprocess(self, value: dict[str, Parameter]) -> dict[str, Parameter]:
"""
Parameters:
value: Expects value as a `dict[str, dict]`. The key in the outer dictionary is the parameter name, while the inner dictionary has keys "type", "description", and "default" for each parameter.
Returns:
The same value.
"""
return value
def example_payload(self):
return {
"array": {
"type": "numpy",
"description": "any valid json",
"default": "None",
}
}
def example_value(self):
return {
"array": {
"type": "numpy",
"description": "any valid json",
"default": "None",
}
}
def api_info(self):
return {"type": {}, "description": "any valid json"}
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