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tabbed_interface_lite
|
Demos
|
https://gradio.app/docs/gradio/tabbedinterface
|
Gradio - Tabbedinterface Docs
|
Walkthrough is a layout element within Blocks that can contain multiple
"Step" Components, which can be used to create a step-by-step workflow.
|
Description
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
with gr.Walkthrough(selected=1) as walkthrough:
with gr.Step("Step 1", id=1):
btn = gr.Button("go to Step 2")
btn.click(lambda: gr.Walkthrough(selected=2), outputs=walkthrough)
with gr.Step("Step 2", id=2):
txt = gr.Textbox("Welcome to Step 2")
|
Example Usage
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
Parameters ▼
selected: int | None
default `= None`
The currently selected step. Must be a number corresponding to the step
number. Defaults to the first step.
visible: bool
default `= True`
If False, Walkthrough will be hidden.
elem_id: str | None
default `= 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
default `= None`
An optional string or list of strings that are assigned as the class of this
component in the HTML DOM. Can be used for targeting CSS styles.
render: bool
default `= True`
If False, this layout 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= None`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
|
Initialization
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
walkthrough
|
Demos
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
Methods
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
|
%20Copyright%202022%20Fonticons,%20Inc.%20--%3e%3cpath%20d='M172.5%20131.1C228.1%2075.51%20320.5%2075.51%20376.1%20131.1C426.1%20181.1%20433.5%20260.8%20392.4%20318.3L391.3%20319.9C381%20334.2%20361%20337.6%20346.7%20327.3C332.3%20317%20328.9%20297%20339.2%20282.7L340.3%20281.1C363.2%20249%20359.6%20205.1%20331.7%20177.2C300.3%20145.8%20249.2%20145.8%20217.7%20177.2L105.5%20289.5C73.99%20320.1%2073.99%20372%20105.5%20403.5C133.3%20431.4%20177.3%20435%20209.3%20412.1L210.9%20410.1C225.3%20400.7%20245.3%20404%20255.5%20418.4C265.8%20432.8%20262.5%20452.8%20248.1%20463.1L246.5%20464.2C188.1%20505.3%20110.2%20498.7%2060.21%20448.8C3.741%20392.3%203.741%20300.7%2060.21%20244.3L172.5%20131.1zM467.5%20380C411%20436.5%20319.5%20436.5%20263%20380C213%20330%20206.5%20251.2%20247.6%20193.7L248.7%20192.1C258.1%20177.8%20278.1%20174.4%20293.3%20184.7C307.7%20194.1%20311.1%20214.1%20300.8%20229.3L299.7%20230.9C276.8%20262.1%20280.4%20306.9%20308.3%20334.8C339.7%20366.2%20390.8%20366.2%20422.3%20334.8L534.5%20222.5C566%20191%20566%20139.1%20534.5%20108.5C506.7%2080.63%20462.7%2076.99%20430.7%2099.9L429.1%20101C414.7%20111.3%20394.7%20107.1%20384.5%2093.58C374.2%2079.2%20377.5%2059.21%20391.9%2048.94L393.5%2047.82C451%206.731%20529.8%2013.25%20579.8%2063.24C636.3%20119.7%20636.3%20211.3%20579.8%20267.7L467.5%20380z'/%3e%3c/svg%3e)
gradio.Walkthrough.change(···)
Description
%20Copyright%202022%20Fonticons,%20In
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
%3c!--!%20Font%20Awesome%20Pro%206.0.0%20by%20@fontawesome%20-%20https://fontawesome.com%20License%20-%20https://fontawesome.com/license%20\(Commercial%20License\)%20Copyright%202022%20Fonticons,%20Inc.%20--%3e%3cpath%20d='M172.5%20131.1C228.1%2075.51%20320.5%2075.51%20376.1%20131.1C426.1%20181.1%20433.5%20260.8%20392.4%20318.3L391.3%20319.9C381%20334.2%20361%20337.6%20346.7%20327.3C332.3%20317%20328.9%20297%20339.2%20282.7L340.3%20281.1C363.2%20249%20359.6%20205.1%20331.7%20177.2C300.3%20145.8%20249.2%20145.8%20217.7%20177.2L105.5%20289.5C73.99%20320.1%2073.99%20372%20105.5%20403.5C133.3%20431.4%20177.3%20435%20209.3%20412.1L210.9%20410.1C225.3%20400.7%20245.3%20404%20255.5%20418.4C265.8%20432.8%20262.5%20452.8%20248.1%20463.1L246.5%20464.2C188.1%20505.3%20110.2%20498.7%2060.21%20448.8C3.741%20392.3%203.741%20300.7%2060.21%20244.3L172.5%20131.1zM467.5%20380C411%20436.5%20319.5%20436.5%20263%20380C213%20330%20206.5%20251.2%20247.6%20193.7L248.7%20192.1C258.1%20177.8%20278.1%20174.4%20293.3%20184.7C307.7%20194.1%20311.1%20214.1%20300.8%20229.3L299.7%20230.9C276.8%20262.1%20280.4%20306.9%20308.3%20334.8C339.7%20366.2%20390.8%20366.2%20422.3%20334.8L534.5%20222.5C566%20191%20566%20139.1%20534.5%20108.5C506.7%2080.63%20462.7%2076.99%20430.7%2099.9L429.1%20101C414.7%20111.3%20394.7%20107.1%20384.5%2093.58C374.2%2079.2%20377.5%2059.21%20391.9%2048.94L393.5%2047.82C451%206.731%20529.8%2013.25%20579.8%2063.24C636.3%20119.7%20636.3%20211.3%20579.8%20267.7L467.5%20380z'/%3e%3c/svg%3e)
Triggered when the value of the Walkthrough 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.
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parame
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidde
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients a
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
s endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
%20Copyright%202022%20Fonticons,%20Inc.%20--%3e%3cpath%20d='M172.5%20131.1C228.1%2075.51%20320.5%2075.51%20376.1%20131.1C426.1%20181.1%20433.5%20260.8%20392.4%20318.3L391.3%20319.9C381%20334.2%20361%20337.6%20346.7%20327.3C332.3%20317%20328.9%20297%20339.2%20282.7L340.3%20281.1C363.2%20249%20359.6%20205.1%20331.7%20177.2C300.3%20145.8%20249.2%20145.8%20217.7%20177.2L105.5%20289.5C73.99%20320.1%2073.99%20372%20105.5%20403.5C133.3%20431.4%20177.3%20435%20209.3%20412.1L210.9%20410.1C225.3%20400.7%20245.3%20404%20255.5%20418.4C265.8%20432.8%20262.5%20452.8%20248.1%20463.1L246.5%20464.2C188.1%20505.3%20110.2%20498.7%2060.21%20448.8C3.741%20392.3%203.741%20300.7%2060.21%20244.3L172.5%20131.1zM467.5%20380C411%20436.5%20319.5%20436.5%20263%20380C213%20330%20206.5%20251.2%20247.6%20193.7L248.7%20192.1C258.1%20177.8%20278.1%20174.4%20293.3%20184.7C307.7%20194.1%20311.1%20214.1%20300.8%20229.3L299.7%20230.9C276.8%20262.1%20280.4%20306.9%20308.3%20334.8C339.7%20366.2%20390.8%20366.2%20422.3%20334.8L534.5%20222.5C566%20191%20566%20139.1%20534.5%20108.5C506.7%2080.63%20462.7%2076.99%20430.7%2099.9L429.1%20101C414.7%20111.3%20394.7%20107.1%20384.5%2093.58C374.2%2079.2%20377.5%2059.21%20391.9%2048.94L393.5%2047.82C451%206.731%20529.8%2013.25%20579.8%2063.24C636.3%20119.7%20636.3%20211.3%20579.8%20267.7L467.5%20380z'/%3e%3c/svg%3e)
gradio.Walkthrough.select(···)
Description
%20Copyright%202022%20Fonticons,%20In
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
%3c!--!%20Font%20Awesome%20Pro%206.0.0%20by%20@fontawesome%20-%20https://fontawesome.com%20License%20-%20https://fontawesome.com/license%20\(Commercial%20License\)%20Copyright%202022%20Fonticons,%20Inc.%20--%3e%3cpath%20d='M172.5%20131.1C228.1%2075.51%20320.5%2075.51%20376.1%20131.1C426.1%20181.1%20433.5%20260.8%20392.4%20318.3L391.3%20319.9C381%20334.2%20361%20337.6%20346.7%20327.3C332.3%20317%20328.9%20297%20339.2%20282.7L340.3%20281.1C363.2%20249%20359.6%20205.1%20331.7%20177.2C300.3%20145.8%20249.2%20145.8%20217.7%20177.2L105.5%20289.5C73.99%20320.1%2073.99%20372%20105.5%20403.5C133.3%20431.4%20177.3%20435%20209.3%20412.1L210.9%20410.1C225.3%20400.7%20245.3%20404%20255.5%20418.4C265.8%20432.8%20262.5%20452.8%20248.1%20463.1L246.5%20464.2C188.1%20505.3%20110.2%20498.7%2060.21%20448.8C3.741%20392.3%203.741%20300.7%2060.21%20244.3L172.5%20131.1zM467.5%20380C411%20436.5%20319.5%20436.5%20263%20380C213%20330%20206.5%20251.2%20247.6%20193.7L248.7%20192.1C258.1%20177.8%20278.1%20174.4%20293.3%20184.7C307.7%20194.1%20311.1%20214.1%20300.8%20229.3L299.7%20230.9C276.8%20262.1%20280.4%20306.9%20308.3%20334.8C339.7%20366.2%20390.8%20366.2%20422.3%20334.8L534.5%20222.5C566%20191%20566%20139.1%20534.5%20108.5C506.7%2080.63%20462.7%2076.99%20430.7%2099.9L429.1%20101C414.7%20111.3%20394.7%20107.1%20384.5%2093.58C374.2%2079.2%20377.5%2059.21%20391.9%2048.94L393.5%2047.82C451%206.731%20529.8%2013.25%20579.8%2063.24C636.3%20119.7%20636.3%20211.3%20579.8%20267.7L467.5%20380z'/%3e%3c/svg%3e)
Event listener for when the user selects or deselects the Walkthrough. Uses
event data gradio.SelectData to carry `value` referring to the label of the
Walkthrough, and `selected` to refer to state of the Walkthrough. See
EventData documentation on how to use this event data
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of t
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
n while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that hav
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
l when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via g
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
nt. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
Creates a color picker for user to select a color as string input. Can be
used as an input to pass a color value to a function or as an output to
display a color value.
|
Description
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
**As input component** : Passes selected color value as a hex `str` into
the function.
Your function should accept one of these types:
def predict(
value: str | None
)
...
**As output component** : Expects a hex `str` returned from function and
sets color picker value to it.
Your function should return one of these types:
def predict(···) -> str | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
Parameters ▼
value: str | Callable | None
default `= None`
default color hex code to provide in color picker. If a function is provided,
the function will be called each time the app loads to set the initial value
of this component.
label: str | I18nData | None
default `= None`
the label for this component, displayed above the component if `show_label` is
`True` 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 corresponds to.
info: str | I18nData | None
default `= None`
additional component description, appears below the label in smaller font.
Supports markdown / HTML syntax.
every: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
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.
show_label: bool | None
default `= None`
if True, will display label.
container: bool
default `= True`
If True, will place the component in a container - providing some extra
padding around the border.
scale: int | None
default `= 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
default `= 160`
minimum pixel width, will wrap if not sufficient screen space to satisfy this
value. If a cer
|
Initialization
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
to top-level Components
in Blocks where fill_height=True.
min_width: int
default `= 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
default `= None`
if True, will be rendered as an editable color picker; if False, editing will
be disabled. If not provided, this is inferred based on whether the component
is used as an input or output.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM
elem_id: str | None
default `= 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
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of
|
Initialization
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
ender()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
|
Initialization
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.ColorPicker`| "colorpicker"| Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
color_picker
|
Demos
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The ColorPicker component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener| Description
---|---
`ColorPicker.change(fn, ···)`| Triggered when the value of the ColorPicker
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.
`ColorPicker.input(fn, ···)`| This listener is triggered when the user changes
the value of the ColorPicker.
`ColorPicker.submit(fn, ···)`| This listener is triggered when the user
presses the Enter key while the ColorPicker is focused.
`ColorPicker.focus(fn, ···)`| This listener is triggered when the ColorPicker
is focused.
`ColorPicker.blur(fn, ···)`| This listener is triggered when the ColorPicker
is unfocused/blurred.
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockConte
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
ult `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the g
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
ue, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submi
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
missions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validatio
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
A Gradio request object that can be used to access the request headers,
cookies, query parameters and other information about the request from within
the prediction function. The class is a thin wrapper around the
fastapi.Request class. Attributes of this class include: `headers`, `client`,
`query_params`, `session_hash`, and `path_params`. If auth is enabled, the
`username` attribute can be used to get the logged in user. In some
environments, the dict-like attributes (e.g. `requests.headers`,
`requests.query_params`) of this class are automatically converted to
dictionaries, so we recommend converting them to dictionaries before accessing
attributes for consistent behavior in different environments.
|
Description
|
https://gradio.app/docs/gradio/request
|
Gradio - Request Docs
|
import gradio as gr
def echo(text, request: gr.Request):
if request:
print("Request headers dictionary:", request.headers)
print("IP address:", request.client.host)
print("Query parameters:", dict(request.query_params))
print("Session hash:", request.session_hash)
return text
io = gr.Interface(echo, "textbox", "textbox").launch()
|
Example Usage
|
https://gradio.app/docs/gradio/request
|
Gradio - Request Docs
|
Parameters ▼
request: fastapi.Request | None
default `= None`
A fastapi.Request
username: str | None
default `= None`
The username of the logged in user (if auth is enabled)
session_hash: str | None
default `= None`
The session hash of the current session. It is unique for each page load.
|
Initialization
|
https://gradio.app/docs/gradio/request
|
Gradio - Request Docs
|
request_ip_headers
|
Demos
|
https://gradio.app/docs/gradio/request
|
Gradio - Request Docs
|
Creates a file component that allows uploading one or more generic files
(when used as an input) or displaying generic files or URLs for download (as
output).
Demo: zip_files, zip_to_json
|
Description
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
**As input component** : Passes the file as a `str` or `bytes` object, or a
list of `str` or list of `bytes` objects, depending on `type` and
`file_count`.
Your function should accept one of these types:
def predict(
value: bytes | str | list[bytes] | list[str] | None
)
...
**As output component** : Expects a `str` filepath or URL, or a `list[str]`
of filepaths/URLs.
Your function should return one of these types:
def predict(···) -> str | list[str] | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
Parameters ▼
value: str | list[str] | Callable | None
default `= None`
Default file(s) to display, given as a str file path or URL, or a list of str
file paths / URLs. If a function is provided, the function will be called each
time the app loads to set the initial value of this component.
file_count: Literal['single', 'multiple', 'directory']
default `= "single"`
if single, allows user to upload one file. If "multiple", user uploads
multiple files. If "directory", user uploads all files in selected directory.
Return type will be list for each file in case of "multiple" or "directory".
file_types: list[str] | None
default `= None`
List of file extensions or types of files to be uploaded (e.g. ['image',
'.json', '.mp4']). "file" allows any file to be uploaded, "image" allows only
image files to be uploaded, "audio" allows only audio files to be uploaded,
"video" allows only video files to be uploaded, "text" allows only text files
to be uploaded.
type: Literal['filepath', 'binary']
default `= "filepath"`
Type of value to be returned by component. "file" returns a temporary file
object with the same base name as the uploaded file, whose full path can be
retrieved by file_obj.name, "binary" returns an bytes object.
label: str | I18nData | None
default `= 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: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
Component
|
Initialization
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
r whose tick resets `value`, or a float
that provides the regular interval for the reset Timer.
inputs: Component | list[Component] | set[Component] | None
default `= None`
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.
show_label: bool | None
default `= None`
if True, will display label.
container: bool
default `= True`
If True, will place the component in a container - providing some extra
padding around the border.
scale: int | None
default `= 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
default `= 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.
height: int | str | float | None
default `= None`
The default height of the file component when no files have been uploaded, or
the maximum height of the file component when files are present. Specified in
pixels if a number is passed, or in CSS units if a string is passed. If more
files are uploaded than can fit in the height, a scrollbar will appear.
interactive: bool | None
default `= None`
if True, will allow users to upload a file; if False, can only be used to
display files. If not provided, this is inferred based on whether the
component is used as an input or output.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist i
|
Initialization
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM
elem_id: str | None
default `= 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
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
allow_reordering: bool
default `= False`
if True, will allow users to reorder uploaded files by dragging and dropping.
|
Initialization
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.File`| "file"| Uses default values
`gradio.Files`| "files"| Uses file_count="multiple"
|
Shortcuts
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The File component supports the following event listeners. Each event listener
takes the same parameters, which are listed in the Event Parameters table
below.
Listener| Description
---|---
`File.change(fn, ···)`| Triggered when the value of the File 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.
`File.select(fn, ···)`| Event listener for when the user selects or deselects
the File. Uses event data gradio.SelectData to carry `value` referring to the
label of the File, and `selected` to refer to state of the File. See EventData
documentation on how to use this event data
`File.clear(fn, ···)`| This listener is triggered when the user clears the
File using the clear button for the component.
`File.upload(fn, ···)`| This listener is triggered when the user uploads a
file into the File.
`File.delete(fn, ···)`| This listener is triggered when the user deletes and
item from the File. Uses event data gradio.DeletedFileData to carry `value`
referring to the file that was deleted as an instance of FileData. See
EventData documentation on how to use this event data
`File.download(fn, ···)`| This listener is triggered when the user downloads a
file from the File. Uses event data gradio.DownloadData to carry information
about the downloaded file as a FileData object. See EventData documentation on
how to use this event data
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is trigg
|
Event Listeners
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
n
how to use this event data
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
t
|
Event Listeners
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
l', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_ev
|
Event Listeners
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clie
|
Event Listeners
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/file
|
Gradio - File Docs
|
The gr.UndoData class is a subclass of gr.Event data that specifically
carries information about the `.undo()` event. When gr.UndoData is added as a
type hint to an argument of an event listener method, a gr.UndoData object
will automatically be passed as the value of that argument. The attributes of
this object contains information about the event that triggered the listener.
|
Description
|
https://gradio.app/docs/gradio/undodata
|
Gradio - Undodata Docs
|
import gradio as gr
def undo(retry_data: gr.UndoData, history: list[gr.MessageDict]):
history_up_to_retry = history[:retry_data.index]
return history_up_to_retry
with gr.Blocks() as demo:
chatbot = gr.Chatbot()
chatbot.undo(undo, chatbot, chatbot)
demo.launch()
|
Example Usage
|
https://gradio.app/docs/gradio/undodata
|
Gradio - Undodata Docs
|
Parameters ▼
index: int | tuple[int, int]
The index of the user message that should be undone.
value: Any
The value of the user message that should be undone.
|
Attributes
|
https://gradio.app/docs/gradio/undodata
|
Gradio - Undodata Docs
|
Creates an audio component that can be used to upload/record audio (as an
input) or display audio (as an output).
|
Description
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
**As input component** : passes audio as one of these formats (depending on
`type`): a `str` filepath, or `tuple` of (sample rate in Hz, audio data as
numpy array). If the latter, the audio data is a 16-bit `int` array whose
values range from -32768 to 32767 and shape of the audio data array is
(samples,) for mono audio or (samples, channels) for multi-channel audio.
Your function should accept one of these types:
def predict(
value: str | tuple[int, np.ndarray] | None
)
...
**As output component** : expects audio data in any of these formats: a
`str` or `pathlib.Path` filepath or URL to an audio file, or a `bytes` object
(recommended for streaming), or a `tuple` of (sample rate in Hz, audio data as
numpy array). Note: if audio is supplied as a numpy array, the audio will be
normalized by its peak value to avoid distortion or clipping in the resulting
audio.
Your function should return one of these types:
def predict(···) -> str | Path | bytes | tuple[int, np.ndarray] | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Parameters ▼
value: str | Path | tuple[int, np.ndarray] | Callable | None
default `= None`
A path, URL, or [sample_rate, numpy array] tuple (sample rate in Hz, audio
data as a float or int numpy array) for the default value that Audio component
is going to take. If a function is provided, the function will be called each
time the app loads to set the initial value of this component.
sources: list[Literal['upload', 'microphone']] | Literal['upload', 'microphone'] | None
default `= None`
A list of sources permitted for audio. "upload" creates a box where user can
drop an audio file, "microphone" creates a microphone input. The first element
in the list will be used as the default source. If None, defaults to
["upload", "microphone"], or ["microphone"] if `streaming` is True.
type: Literal['numpy', 'filepath']
default `= "numpy"`
The format the audio file is converted to before being passed into the
prediction function. "numpy" converts the audio to a tuple consisting of: (int
sample rate, numpy.array for the data), "filepath" passes a str path to a
temporary file containing the audio.
label: str | I18nData | None
default `= 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: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
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.
|
Initialization
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
set[Component] | None
default `= None`
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.
show_label: bool | None
default `= None`
if True, will display label.
container: bool
default `= True`
If True, will place the component in a container - providing some extra
padding around the border.
scale: int | None
default `= 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: int
default `= 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
default `= None`
If True, will allow users to upload and edit an audio file. If False, can only
be used to play audio. If not provided, this is inferred based on whether the
component is used as an input or output.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM If
"hidden", component will be visually hidden and not take up space in the
layout but still exist in the DOM.
streaming: bool
default `= False`
If set to True when used in a `live` interface as an input, will automatically
stream webcam feed. When used set as an output, takes audio chunks yield from
the backend and combines them into one streaming audio output.
elem_id: str | None
default `= 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
|
Initialization
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
elem_id: str | None
default `= 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
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
format: Literal['wav', 'mp3'] | None
default `= None`
the file extension with which to save audio files. Either 'wav' or 'mp3'. wav
files are lossless but will tend to be larger files. mp3 files tend to be
smaller. This parameter applies both when this component is used as an input
(and `type` is "filepath") to determine which file format to convert user-
provided audio to, and when this component is used as an output to determine
the format of audio returned to the user. If None, no file format conversion
is done and the audio is kept as is. In the case where output audio is
returned from the prediction function as numpy array and no `format` is
provided, it will be returned as a "wav" file.
au
|
Initialization
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
and the audio is kept as is. In the case where output audio is
returned from the prediction function as numpy array and no `format` is
provided, it will be returned as a "wav" file.
autoplay: bool
default `= False`
Whether to automatically play the audio when the component is used as an
output. Note: browsers will not autoplay audio files if the user has not
interacted with the page yet.
editable: bool
default `= True`
If True, allows users to manipulate the audio file if the component is
interactive. Defaults to True.
buttons: list[Literal['download', 'share']] | None
default `= None`
A list of buttons to show in the top right corner of the component. Valid
options are "download" and "share". The "download" button allows the user to
save the audio to their device. The "share" button allows the user to share
the audio via Hugging Face Spaces Discussions. By default, all buttons are
shown.
waveform_options: WaveformOptions | dict | None
default `= None`
A dictionary of options for the waveform display. Options include:
waveform_color (str), waveform_progress_color (str), skip_length (int),
trim_region_color (str). Default is None, which uses the default values for
these options. See `gr.WaveformOptions` docs.
loop: bool
default `= False`
If True, the audio will loop when it reaches the end and continue playing from
the beginning.
recording: bool
default `= False`
If True, the audio component will be set to record audio from the microphone
if the source is set to "microphone". Defaults to False.
subtitles: str | Path | list[dict[str, Any]] | None
default `= None`
A subtitle file (srt, vtt, or json) for the audio, or a list of subtitle
dictionaries in the format [{"text": str, "timestamp": [start, end]}] where
timestamps are in seconds. JSON files should contain an array of subtitle
objects.
playback_position: float
default `= 0
|
Initialization
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
in the format [{"text": str, "timestamp": [start, end]}] where
timestamps are in seconds. JSON files should contain an array of subtitle
objects.
playback_position: float
default `= 0`
The starting playback position in seconds. This value is also updated as the
audio plays, reflecting the current playback position.
|
Initialization
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.Audio`| "audio"| Uses default values
`gradio.Microphone`| "microphone"| Uses sources=["microphone"]
|
Shortcuts
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
generate_tonereverse_audio
|
Demos
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The Audio component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener| Description
---|---
`Audio.stream(fn, ···)`| This listener is triggered when the user streams the
Audio.
`Audio.change(fn, ···)`| Triggered when the value of the Audio 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.
`Audio.clear(fn, ···)`| This listener is triggered when the user clears the
Audio using the clear button for the component.
`Audio.play(fn, ···)`| This listener is triggered when the user plays the
media in the Audio.
`Audio.pause(fn, ···)`| This listener is triggered when the media in the Audio
stops for any reason.
`Audio.stop(fn, ···)`| This listener is triggered when the user reaches the
end of the media playing in the Audio.
`Audio.pause(fn, ···)`| This listener is triggered when the media in the Audio
stops for any reason.
`Audio.start_recording(fn, ···)`| This listener is triggered when the user
starts recording with the Audio.
`Audio.pause_recording(fn, ···)`| This listener is triggered when the user
pauses recording with the Audio.
`Audio.stop_recording(fn, ···)`| This listener is triggered when the user
stops recording with the Audio.
`Audio.upload(fn, ···)`| This listener is triggered when the user uploads a
file into the Audio.
`Audio.input(fn, ···)`| This listener is triggered when the user changes the
value of the Audio.
Event Parameters
Parameters ▼
|
Event Listeners
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
when the user uploads a
file into the Audio.
`Audio.input(fn, ···)`| This listener is triggered when the user changes the
value of the Audio.
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "minimal"`
how to show the progress animation w
|
Event Listeners
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
fault `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "minimal"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel w
|
Event Listeners
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
ostprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint.
|
Event Listeners
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
ted by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Helper Classes
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
|
gradio.WaveformOptions(···)
Description
A dataclass for specifying options for the waveform display in the Audio
component. An instance of this class can be passed into the `waveform_options`
parameter of `gr.Audio`.
Initialization
Parameters ▼
waveform_color: str | None
default `= None`
The color (as a hex string or valid CSS color) of the full waveform
representing the amplitude of the audio. Defaults to a light gray color.
waveform_progress_color: str | None
default `= None`
The color (as a hex string or valid CSS color) that the waveform fills with to
as the audio plays. Defaults to the accent color.
trim_region_color: str | None
default `= None`
The color (as a hex string or valid CSS color) of the trim region. Defaults to
the accent color.
show_recording_waveform: bool
default `= True`
If True, shows a waveform when recording audio or playing audio. If False,
uses the default browser audio players. For streamed audio, the default
browser audio player is always used.
skip_length: int | float
default `= 5`
The percentage (between 0 and 100) of the audio to skip when clicking on the
skip forward / skip backward buttons.
sample_rate: int
default `= 44100`
The output sample rate (in Hz) of the audio after editing.
|
WaveformOptions
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Validates that the audio length is within the specified min and max length (in
seconds). You can use this to construct a validator that will check if the
user-provided audio is either too short or too long.
import gradio as gr
demo = gr.Interface(
lambda x: x,
inputs="audio",
outputs="audio",
validator=lambda audio: gr.validators.is_audio_correct_length(audio, min_length=1, max_length=5)
)
demo.launch()
Initialization
Parameters ▼
audio: tuple[int, 'np.ndarray']
A tuple of (sample rate in Hz, audio data as numpy array).
min_length: float | None
Minimum length of audio in seconds. If None, no minimum length check is
performed.
max_length: float | None
Maximum length of audio in seconds. If None, no maximum length check is
performed.
|
is_audio_correct_length
|
https://gradio.app/docs/gradio/audio
|
Gradio - Audio Docs
|
Creates a file explorer component that allows users to browse files on the
machine hosting the Gradio app. As an input component, it also allows users to
select files to be used as input to a function, while as an output component,
it displays selected files.
|
Description
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
**As input component** : Passes the selected file or directory as a `str`
path (relative to `root`) or `list[str}` depending on `file_count`
Your function should accept one of these types:
def predict(
value: list[str] | str | None
)
...
**As output component** : Expects function to return a `str` path to a
file, or `list[str]` consisting of paths to files.
Your function should return one of these types:
def predict(···) -> str | list[str] | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
Parameters ▼
glob: str
default `= "**/*"`
The glob-style pattern used to select which files to display, e.g. "*" to
match all files, "*.png" to match all .png files, "**/*.txt" to match any .txt
file in any subdirectory, etc. The default value matches all files and folders
recursively. See the Python glob documentation at
https://docs.python.org/3/library/glob.html for more information.
value: str | list[str] | Callable | None
default `= None`
The file (or list of files, depending on the `file_count` parameter) to show
as "selected" when the component is first loaded. If a callable is provided,
it will be called when the app loads to set the initial value of the
component. If not provided, no files are shown as selected.
file_count: Literal['single', 'multiple']
default `= "multiple"`
Whether to allow single or multiple files to be selected. If "single", the
component will return a single absolute file path as a string. If "multiple",
the component will return a list of absolute file paths as a list of strings.
root_dir: str | Path
default `= "."`
Path to root directory to select files from. If not provided, defaults to
current working directory. Raises ValueError if the directory does not exist.
ignore_glob: str | None
default `= None`
The glob-style, case-sensitive pattern that will be used to exclude files from
the list. For example, "*.py" will exclude all .py files from the list. See
the Python glob documentation at https://docs.python.org/3/library/glob.html
for more information.
label: str | I18nData | None
default `= 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: Timer | float | None
default `= None`
Continously calls
|
Initialization
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
onent. If None and
used in a `gr.Interface`, the label will be the name of the parameter this
component is assigned to.
every: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
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.
show_label: bool | None
default `= None`
if True, will display label.
container: bool
default `= True`
If True, will place the component in a container - providing some extra
padding around the border.
scale: int | None
default `= 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
default `= 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.
height: int | str | None
default `= None`
The maximum height of the file component, specified in pixels if a number is
passed, or in CSS units if a string is passed. If more files are uploaded than
can fit in the height, a scrollbar will appear.
max_height: int | str | None
default `= 500`
min_height: int | str | None
default `= None`
interactive: bool | None
default `= None`
if True, will allow users to select file(s); if False, will only display
file
|
Initialization
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
min_height: int | str | None
default `= None`
interactive: bool | None
default `= None`
if True, will allow users to select file(s); if False, will only display
files. If not provided, this is inferred based on whether the component is
used as an input or output.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM
elem_id: str | None
default `= 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
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
|
Initialization
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.FileExplorer`| "fileexplorer"| Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The FileExplorer component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener| Description
---|---
`FileExplorer.change(fn, ···)`|
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None,
|
Event Listeners
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
teral[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before runni
|
Event Listeners
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is
|
Event Listeners
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
ny number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/fileexplorer
|
Gradio - Fileexplorer Docs
|
Used to create an upload button, when clicked allows a user to upload files
that satisfy the specified file type or generic files (if file_type not set).
|
Description
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
**As input component** : Passes the file as a `str` or `bytes` object, or a
list of `str` or list of `bytes` objects, depending on `type` and
`file_count`.
Your function should accept one of these types:
def predict(
value: bytes | str | list[bytes] | list[str] | None
)
...
**As output component** : Expects a `str` filepath or URL, or a `list[str]`
of filepaths/URLs.
Your function should return one of these types:
def predict(···) -> str | list[str] | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
Parameters ▼
label: str
default `= "Upload a File"`
Text to display on the button. Defaults to "Upload a File".
value: str | I18nData | list[str] | Callable | None
default `= None`
File or list of files to upload by default.
every: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
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.
variant: Literal['primary', 'secondary', 'stop']
default `= "secondary"`
'primary' for main call-to-action, 'secondary' for a more subdued style,
'stop' for a stop button.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM
size: Literal['sm', 'md', 'lg']
default `= "lg"`
size of the button. Can be "sm", "md", or "lg".
icon: str | None
default `= None`
URL or path to the icon file to display within the button. If None, no icon
will be displayed.
scale: int | None
default `= 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 | None
default `= None`
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_widt
|
Initialization
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
idth: int | None
default `= None`
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
default `= True`
If False, the UploadButton will be in a disabled state.
elem_id: str | None
default `= 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
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
type: Literal['filepath', 'binary']
default `= "filepath"`
Type of value to be returned by component. "file" returns a temporary file
object with the same base name as the uploaded file, whose full path can be
retrieved by file_obj.name, "binary" returns an bytes object.
file_count: Literal['single', 'multiple', 'directory']
|
Initialization
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
h the same base name as the uploaded file, whose full path can be
retrieved by file_obj.name, "binary" returns an bytes object.
file_count: Literal['single', 'multiple', 'directory']
default `= "single"`
if single, allows user to upload one file. If "multiple", user uploads
multiple files. If "directory", user uploads all files in selected directory.
Return type will be list for each file in case of "multiple" or "directory".
file_types: list[str] | None
default `= None`
List of type of files to be uploaded. "file" allows any file to be uploaded,
"image" allows only image files to be uploaded, "audio" allows only audio
files to be uploaded, "video" allows only video files to be uploaded, "text"
allows only text files to be uploaded.
|
Initialization
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.UploadButton`| "uploadbutton"| Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
upload_and_downloadupload_button
|
Demos
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The UploadButton component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener| Description
---|---
`UploadButton.click(fn, ···)`| Triggered when the UploadButton is clicked.
`UploadButton.upload(fn, ···)`| This listener is triggered when the user
uploads a file into the UploadButton.
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description
|
Event Listeners
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the
|
Event Listeners
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simul
|
Event Listeners
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
fault `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/uploadbutton
|
Gradio - Uploadbutton Docs
|
Creates a textarea for users to enter string input or display string output
and also allows for the uploading of multimedia files.
|
Description
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
**As input component** : Passes text value and list of file(s) as a `dict`
into the function.
Your function should accept one of these types:
def predict(
value: MultimodalValue | None
)
...
**As output component** : Expects a `dict` with "text" and "files", both
optional. The files array is a list of file paths or URLs.
Your function should return one of these types:
def predict(···) -> MultimodalValue | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
Parameters ▼
value: str | dict[str, str | list] | Callable | None
default `= None`
Default value to show in MultimodalTextbox. A string value, or a dictionary of
the form {"text": "sample text", "files": [{path: "files/file.jpg", orig_name:
"file.jpg", url: "http://image_url.jpg", size: 100}]}. If a function is
provided, the function will be called each time the app loads to set the
initial value of this component.
sources: list[Literal['upload', 'microphone']] | Literal['upload', 'microphone'] | None
default `= None`
A list of sources permitted. "upload" creates a button where users can click
to upload or drop files, "microphone" creates a microphone input. If None,
defaults to ["upload"].
file_types: list[str] | None
default `= None`
List of file extensions or types of files to be uploaded (e.g. ['image',
'.json', '.mp4']). "file" allows any file to be uploaded, "image" allows only
image files to be uploaded, "audio" allows only audio files to be uploaded,
"video" allows only video files to be uploaded, "text" allows only text files
to be uploaded.
file_count: Literal['single', 'multiple', 'directory']
default `= "single"`
if single, allows user to upload one file. If "multiple", user uploads
multiple files. If "directory", user uploads all files in selected directory.
Return type will be list for each file in case of "multiple" or "directory".
lines: int
default `= 1`
minimum number of line rows to provide in textarea.
max_lines: int
default `= 20`
maximum number of line rows to provide in textarea.
placeholder: str | None
default `= None`
placeholder hint to provide behind textarea.
label: str | I18nData | None
default `= None`
the label for this component, displayed above the component if `show_label` is
`True` and is also used as the header if there are a table of examples for
this component. If None and used in a `gr.
|
Initialization
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
e`
the label for this component, displayed above the component if `show_label` is
`True` 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 corresponds to.
info: str | I18nData | None
default `= None`
additional component description, appears below the label in smaller font.
Supports markdown / HTML syntax.
every: Timer | float | None
default `= None`
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: Component | list[Component] | set[Component] | None
default `= None`
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.
show_label: bool | None
default `= None`
if True, will display label.
container: bool
default `= True`
If True, will place the component in a container - providing some extra
padding around the border.
scale: int | None
default `= 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
default `= 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
default `= None`
if True, will be rendered as an editable textbox; if False, editing will be
disabled. If not provided, this is inferred based on
|
Initialization
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
cted first.
interactive: bool | None
default `= None`
if True, will be rendered as an editable textbox; if False, editing will be
disabled. If not provided, this is inferred based on whether the component is
used as an input or output.
visible: bool | Literal['hidden']
default `= True`
If False, component will be hidden. If "hidden", component will be visually
hidden and not take up space in the layout but still exist in the DOM
elem_id: str | None
default `= None`
An optional string that is assigned as the id of this component in the HTML
DOM. Can be used for targeting CSS styles.
autofocus: bool
default `= False`
If True, will focus on the textbox when the page loads. Use this carefully, as
it can cause usability issues for sighted and non-sighted users.
autoscroll: bool
default `= True`
If True, will automatically scroll to the bottom of the textbox when the value
changes, unless the user scrolls up. If False, will not scroll to the bottom
of the textbox when the value changes.
elem_classes: list[str] | str | None
default `= 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
default `= 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.
key: int | str | tuple[int | str, ...] | None
default `= None`
in a gr.render, Components with the same key across re-renders are treated as
the same component, not a new component. Properties set in 'preserved_by_key'
are not reset across a re-render.
preserved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these
|
Initialization
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
rved_by_key: list[str] | str | None
default `= "value"`
A list of parameters from this component's constructor. Inside a gr.render()
function, if a component is re-rendered with the same key, these (and only
these) parameters will be preserved in the UI (if they have been changed by
the user or an event listener) instead of re-rendered based on the values
provided during constructor.
text_align: Literal['left', 'right'] | None
default `= None`
How to align the text in the textbox, can be: "left", "right", or None
(default). If None, the alignment is left if `rtl` is False, or right if `rtl`
is True. Can only be changed if `type` is "text".
rtl: bool
default `= False`
If True and `type` is "text", sets the direction of the text to right-to-left
(cursor appears on the left of the text). Default is False, which renders
cursor on the right.
submit_btn: str | bool | None
default `= True`
If False, will not show a submit button. If a string, will use that string as
the submit button text.
stop_btn: str | bool | None
default `= False`
If True, will show a stop button (useful for streaming demos). If a string,
will use that string as the stop button text.
max_plain_text_length: int
default `= 1000`
Maximum length of plain text in the textbox. If the text exceeds this length,
the text will be pasted as a file. Default is 1000.
html_attributes: InputHTMLAttributes | None
default `= None`
An instance of gr.InputHTMLAttributes, which can be used to set HTML
attributes for the input/textarea elements. Example:
InputHTMLAttributes(autocorrect="off", spellcheck=False) to disable
autocorrect and spellcheck.
|
Initialization
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
Class| Interface String Shortcut| Initialization
---|---|---
`gradio.MultimodalTextbox`| "multimodaltextbox"| Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
chatbot_multimodal
|
Demos
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
Description
Event listeners allow you to respond to user interactions with the UI
components you've defined in a Gradio Blocks app. When a user interacts with
an element, such as changing a slider value or uploading an image, a function
is called.
Supported Event Listeners
The MultimodalTextbox component supports the following event listeners. Each
event listener takes the same parameters, which are listed in the Event
Parameters table below.
Listener| Description
---|---
`MultimodalTextbox.change(fn, ···)`| Triggered when the value of the
MultimodalTextbox 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.
`MultimodalTextbox.input(fn, ···)`| This listener is triggered when the user
changes the value of the MultimodalTextbox.
`MultimodalTextbox.select(fn, ···)`| Event listener for when the user selects
or deselects the MultimodalTextbox. Uses event data gradio.SelectData to carry
`value` referring to the label of the MultimodalTextbox, and `selected` to
refer to state of the MultimodalTextbox. See EventData documentation on how to
use this event data
`MultimodalTextbox.submit(fn, ···)`| This listener is triggered when the user
presses the Enter key while the MultimodalTextbox is focused.
`MultimodalTextbox.focus(fn, ···)`| This listener is triggered when the
MultimodalTextbox is focused.
`MultimodalTextbox.blur(fn, ···)`| This listener is triggered when the
MultimodalTextbox is unfocused/blurred.
`MultimodalTextbox.stop(fn, ···)`| This listener is triggered when the user
reaches the end of the media playing in the MultimodalTextbox.
Event Parameters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction f
|
Event Listeners
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
ters
Parameters ▼
fn: Callable | None | Literal['decorator']
default `= "decorator"`
the function to call when this event is triggered. Often a machine learning
model's prediction function. Each parameter of the function corresponds to one
input component, and the function should return a single value or a tuple of
values, with each element in the tuple corresponding to one output component.
inputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as inputs. If the function takes no inputs,
this should be an empty list.
outputs: Component | BlockContext | list[Component | BlockContext] | Set[Component | BlockContext] | None
default `= None`
List of gradio.components to use as outputs. If the function returns no
outputs, this should be an empty list.
api_name: str | None
default `= None`
defines how the endpoint appears in the API docs. Can be a string or None. If
set to a string, the endpoint will be exposed in the API docs with the given
name. If None (default), the name of the function will be used as the API
endpoint.
api_description: str | None | Literal[False]
default `= None`
Description of the API endpoint. Can be a string, None, or False. If set to a
string, the endpoint will be exposed in the API docs with the given
description. If None, the function's docstring will be used as the API
endpoint description. If False, then no description will be displayed in the
API docs.
scroll_to_output: bool
default `= False`
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
default `= "full"`
how to show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the run
|
Event Listeners
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
o show the progress animation while event is running: "full" shows a
spinner which covers the output component area as well as a runtime display in
the upper right corner, "minimal" only shows the runtime display, "hidden"
shows no progress animation at all
show_progress_on: Component | list[Component] | None
default `= None`
Component or list of components to show the progress animation on. If None,
will show the progress animation on all of the output components.
queue: bool
default `= True`
If True, will place the request on the queue, if the queue has been enabled.
If False, will not put this event on the queue, even if the queue has been
enabled. If None, will use the queue setting of the gradio app.
batch: bool
default `= False`
If True, then the function should process a batch of inputs, meaning that it
should accept a list of input values for each parameter. The lists should be
of equal length (and be up to length `max_batch_size`). The function is then
*required* to return a tuple of lists (even if there is only 1 output
component), with each list in the tuple corresponding to one output component.
max_batch_size: int
default `= 4`
Maximum number of inputs to batch together if this is called from the queue
(only relevant if batch=True)
preprocess: bool
default `= True`
If False, will not run preprocessing of component data before running 'fn'
(e.g. leaving it as a base64 string if this method is called with the `Image`
component).
postprocess: bool
default `= True`
If False, will not run postprocessing of component data before returning 'fn'
output to the browser.
cancels: dict[str, Any] | list[dict[str, Any]] | None
default `= None`
A list of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .clic
|
Event Listeners
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
ist of other events to cancel when this listener is triggered. For example,
setting cancels=[click_event] will cancel the click_event, where click_event
is the return value of another components .click method. Functions that have
not yet run (or generators that are iterating) will be cancelled, but
functions that are currently running will be allowed to finish.
trigger_mode: Literal['once', 'multiple', 'always_last'] | None
default `= None`
If "once" (default for all events except `.change()`) would not allow any
submissions while an event is pending. If set to "multiple", unlimited
submissions are allowed while pending, and "always_last" (default for
`.change()` and `.key_up()` events) would allow a second submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method to run before running 'fn'. Input arguments for js
method are values of 'inputs' and 'outputs', return should be a list of values
for output components.
concurrency_limit: int | None | Literal['default']
default `= "default"`
If set, this is the maximum number of this event that can be running
simultaneously. Can be set to None to mean no concurrency_limit (any number of
this event can be running simultaneously). Set to "default" to use the default
concurrency limit (defined by the `default_concurrency_limit` parameter in
`Blocks.queue()`, which itself is 1 by default).
concurrency_id: str | None
default `= None`
If set, this is the id of the concurrency group. Events with the same
concurrency_id will be limited by the lowest set concurrency_limit.
api_visibility: Literal['public', 'private', 'undocumented']
default `= "public"`
controls the visibility and accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
c
|
Event Listeners
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
accessibility of this endpoint. Can be "public"
(shown in API docs and callable by clients), "private" (hidden from API docs
and not callable by clients), or "undocumented" (hidden from API docs but
callable by clients and via gr.load). If fn is None, api_visibility will
automatically be set to "private".
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(). If set, this
value identifies an event as identical across re-renders when the key is
identical.
validator: Callable | None
default `= None`
Optional validation function to run before the main function. If provided,
this function will be executed first with queue=False, and only if it
completes successfully will the main function be called. The validator
receives the same inputs as the main function and should return a
`gr.validate()` for each input value.
|
Event Listeners
|
https://gradio.app/docs/gradio/multimodaltextbox
|
Gradio - Multimodaltextbox Docs
|
Creates a button that can be assigned arbitrary .click() events. The value
(label) of the button can be used as an input to the function (rarely used) or
set via the output of a function.
|
Description
|
https://gradio.app/docs/gradio/button
|
Gradio - Button Docs
|
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