text
stringlengths 0
2k
| heading1
stringlengths 4
79
| source_page_url
stringclasses 180
values | source_page_title
stringclasses 180
values |
|---|---|---|---|
%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.Interface.launch(···)
Description
%20Copyright%202022%20Fonticons,%20Inc.
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
c!--!%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)
Launches a simple web server that serves the demo. Can also be used to create
a public link used by anyone to access the demo from their browser by setting
share=True.
Example Usage
%20Copyright%202022%20Fonticons,
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
2'%3e%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)
import gradio as gr
def reverse(text):
return text[::-1]
demo = gr.Interface(reverse, "text", "text")
demo.launch(share=True, auth=("username", "password"))
Parameters ▼
inline: bool | None
default `= None`
whether to display in the gradio app inline in an iframe. Defaults to True in
python notebooks; False otherwise.
inbrowser: bool
default `= False`
whether to automatically launch the gradio app in a new tab on the de
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
pp inline in an iframe. Defaults to True in
python notebooks; False otherwise.
inbrowser: bool
default `= False`
whether to automatically launch the gradio app in a new tab on the default
browser.
share: bool | None
default `= None`
whether to create a publicly shareable link for the gradio app. Creates an SSH
tunnel to make your UI accessible from anywhere. If not provided, it is set to
False by default every time, except when running in Google Colab. When
localhost is not accessible (e.g. Google Colab), setting share=False is not
supported. Can be set by environment variable GRADIO_SHARE=True.
debug: bool
default `= False`
if True, blocks the main thread from running. If running in Google Colab, this
is needed to print the errors in the cell output.
max_threads: int
default `= 40`
the maximum number of total threads that the Gradio app can generate in
parallel. The default is inherited from the starlette library (currently 40).
auth: Callable[[str, str], bool] | tuple[str, str] | list[tuple[str, str]] | None
default `= None`
If provided, username and password (or list of username-password tuples)
required to access app. Can also provide function that takes username and
password and returns True if valid login.
auth_message: str | None
default `= None`
If provided, HTML message provided on login page.
prevent_thread_lock: bool
default `= False`
By default, the gradio app blocks the main thread while the server is running.
If set to True, the gradio app will not block and the gradio server will
terminate as soon as the script finishes.
show_error: bool
default `= False`
If True, any errors in the gradio app will be displayed in an alert modal and
printed in the browser console log. They will also be displayed in the alert
modal of downstream apps that gr.load() this app.
server_name: str | None
default `= No
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
an alert modal and
printed in the browser console log. They will also be displayed in the alert
modal of downstream apps that gr.load() this app.
server_name: str | None
default `= None`
to make app accessible on local network, set this to "0.0.0.0". Can be set by
environment variable GRADIO_SERVER_NAME. If None, will use "127.0.0.1".
server_port: int | None
default `= None`
will start gradio app on this port (if available). Can be set by environment
variable GRADIO_SERVER_PORT. If None, will search for an available port
starting at 7860.
height: int
default `= 500`
The height in pixels of the iframe element containing the gradio app (used if
inline=True)
width: int | str
default `= "100%"`
The width in pixels of the iframe element containing the gradio app (used if
inline=True)
favicon_path: str | Path | None
default `= None`
If a path to a file (.png, .gif, or .ico) is provided, it will be used as the
favicon for the web page.
ssl_keyfile: str | None
default `= None`
If a path to a file is provided, will use this as the private key file to
create a local server running on https.
ssl_certfile: str | None
default `= None`
If a path to a file is provided, will use this as the signed certificate for
https. Needs to be provided if ssl_keyfile is provided.
ssl_keyfile_password: str | None
default `= None`
If a password is provided, will use this with the ssl certificate for https.
ssl_verify: bool
default `= True`
If False, skips certificate validation which allows self-signed certificates
to be used.
quiet: bool
default `= False`
If True, suppresses most print statements.
show_api: bool
default `= True`
If True, shows the api docs in the footer of the app. Default True.
allowed_paths: list[str] | None
default `= None`
List of complete filepaths or parent di
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
: bool
default `= True`
If True, shows the api docs in the footer of the app. Default True.
allowed_paths: list[str] | None
default `= None`
List of complete filepaths or parent directories that gradio is allowed to
serve. Must be absolute paths. Warning: if you provide directories, any files
in these directories or their subdirectories are accessible to all users of
your app. Can be set by comma separated environment variable
GRADIO_ALLOWED_PATHS. These files are generally assumed to be secure and will
be displayed in the browser when possible.
blocked_paths: list[str] | None
default `= None`
List of complete filepaths or parent directories that gradio is not allowed to
serve (i.e. users of your app are not allowed to access). Must be absolute
paths. Warning: takes precedence over `allowed_paths` and all other
directories exposed by Gradio by default. Can be set by comma separated
environment variable GRADIO_BLOCKED_PATHS.
root_path: str | None
default `= None`
The root path (or "mount point") of the application, if it's not served from
the root ("/") of the domain. Often used when the application is behind a
reverse proxy that forwards requests to the application. For example, if the
application is served at "https://example.com/myapp", the `root_path` should
be set to "/myapp". A full URL beginning with http:// or https:// can be
provided, which will be used as the root path in its entirety. Can be set by
environment variable GRADIO_ROOT_PATH. Defaults to "".
app_kwargs: dict[str, Any] | None
default `= None`
Additional keyword arguments to pass to the underlying FastAPI app as a
dictionary of parameter keys and argument values. For example, `{"docs_url":
"/docs"}`
state_session_capacity: int
default `= 10000`
The maximum number of sessions whose information to store in memory. If the
number of sessions exceeds this number, the oldest sessions will be removed.
Reduce capac
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
_capacity: int
default `= 10000`
The maximum number of sessions whose information to store in memory. If the
number of sessions exceeds this number, the oldest sessions will be removed.
Reduce capacity to reduce memory usage when using gradio.State or returning
updated components from functions. Defaults to 10000.
share_server_address: str | None
default `= None`
Use this to specify a custom FRP server and port for sharing Gradio apps (only
applies if share=True). If not provided, will use the default FRP server at
https://gradio.live. See https://github.com/huggingface/frp for more
information.
share_server_protocol: Literal['http', 'https'] | None
default `= None`
Use this to specify the protocol to use for the share links. Defaults to
"https", unless a custom share_server_address is provided, in which case it
defaults to "http". If you are using a custom share_server_address and want to
use https, you must set this to "https".
share_server_tls_certificate: str | None
default `= None`
The path to a TLS certificate file to use when connecting to a custom share
server. This parameter is not used with the default FRP server at
https://gradio.live. Otherwise, you must provide a valid TLS certificate file
(e.g. a "cert.pem") relative to the current working directory, or the
connection will not use TLS encryption, which is insecure.
auth_dependency: Callable[[fastapi.Request], str | None] | None
default `= None`
A function that takes a FastAPI request and returns a string user ID or None.
If the function returns None for a specific request, that user is not
authorized to access the app (they will see a 401 Unauthorized response). To
be used with external authentication systems like OAuth. Cannot be used with
`auth`.
max_file_size: str | int | None
default `= None`
The maximum file size in bytes that can be uploaded. Can be a string of the
form "<value><unit>", where value is any
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
ed with
`auth`.
max_file_size: str | int | None
default `= None`
The maximum file size in bytes that can be uploaded. Can be a string of the
form "<value><unit>", where value is any positive integer and unit is one of
"b", "kb", "mb", "gb", "tb". If None, no limit is set.
enable_monitoring: bool | None
default `= None`
Enables traffic monitoring of the app through the /monitoring endpoint. By
default is None, which enables this endpoint. If explicitly True, will also
print the monitoring URL to the console. If False, will disable monitoring
altogether.
strict_cors: bool
default `= True`
If True, prevents external domains from making requests to a Gradio server
running on localhost. If False, allows requests to localhost that originate
from localhost but also, crucially, from "null". This parameter should
normally be True to prevent CSRF attacks but may need to be False when
embedding a *locally-running Gradio app* using web components.
node_server_name: str | None
default `= None`
node_port: int | None
default `= None`
ssr_mode: bool | None
default `= None`
If True, the Gradio app will be rendered using server-side rendering mode,
which is typically more performant and provides better SEO, but this requires
Node 20+ to be installed on the system. If False, the app will be rendered
using client-side rendering mode. If None, will use GRADIO_SSR_MODE
environment variable or default to False.
pwa: bool | None
default `= None`
If True, the Gradio app will be set up as an installable PWA (Progressive Web
App). If set to None (default behavior), then the PWA feature will be enabled
if this Gradio app is launched on Spaces, but not otherwise.
mcp_server: bool | None
default `= None`
If True, the Gradio app will be set up as an MCP server and documented
functions will be added as MCP tools. If None (default behavior), then the
GRADIO_M
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
mcp_server: bool | None
default `= None`
If True, the Gradio app will be set up as an MCP server and documented
functions will be added as MCP tools. If None (default behavior), then the
GRADIO_MCP_SERVER environment variable will be used to determine if the MCP
server should be enabled.
i18n: I18n | None
default `= None`
An I18n instance containing custom translations, which are used to translate
strings in our components (e.g. the labels of components or Markdown strings).
This feature can only be used to translate static text in the frontend, not
values in the backend.
|
launch
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface 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.Interface.load(block, ···)
Description
%20Copyright%202022%20Fonticons,%2
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
%3e%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)
This listener is triggered when the Interface initially loads in the browser.
Parameters ▼
block: Block | None
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 correspondin
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
w 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 .click met
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
f 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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api w
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
ew_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
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.
|
load
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface 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.Interface.from_pipeline(pipeline, ···)
Description
%20Copyright%202022%20
|
from_pipeline
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
20640%20512'%3e%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)
Class method that constructs an Interface from a Hugging Face
transformers.Pipeline or diffusers.DiffusionPipeline object. The input and
output components are automatically determined from the pipeline.
Example Usage
%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)
import gradio as gr
from transformers import pipeline
pipe = pipeline("image-classification")
gr.Interface.from_pipeline(pipe).launch()
Parameters ▼
pipeline: Pipeline | DiffusionPipeline
the pipeline object to use.
|
from_pipeline
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
ne object to use.
|
from_pipeline
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface 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.Interface.integrate(···)
Description
%20Copyright%202022%20Fonticons,%20I
|
integrate
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
e%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)
A catch-all method for integrating with other libraries. This method should be
run after launch()
Parameters ▼
comet_ml: <class 'inspect._empty'>
default `= None`
If a comet_ml Experiment object is provided, will integrate with the
experiment and appear on Comet dashboard
wandb: ModuleType | None
default `= None`
If the wandb module is provided, will integrate with it and appear on WandB
dashboard
mlflow: ModuleType | None
default `= None`
|
integrate
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
wandb: ModuleType | None
default `= None`
If the wandb module is provided, will integrate with it and appear on WandB
dashboard
mlflow: ModuleType | None
default `= None`
If the mlflow module is provided, will integrate with the experiment and
appear on ML Flow dashboard
|
integrate
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface 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.Interface.queue(···)
Description
%20Copyright%202022%20Fonticons,%20Inc.%
|
queue
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
!--!%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)
By enabling the queue you can control when users know their position in the
queue, and set a limit on maximum number of events allowed.
Example Usage
%20Copyright%202022%20Fonticons,%20Inc.%20--%3e%3cpath%20d='M172.
|
queue
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
ro%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)
demo = gr.Interface(image_generator, gr.Textbox(), gr.Image())
demo.queue(max_size=20)
demo.launch()
Parameters ▼
status_update_rate: float | Literal['auto']
default `= "auto"`
If "auto", Queue will send status estimations to all clients whenever a job is
finished. Otherwise Queue will send status at regular intervals set by this
parameter as the number of seconds.
api_open: bool | None
default `= None`
If True, the REST routes of the backend will be open, allowin
|
queue
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
send status at regular intervals set by this
parameter as the number of seconds.
api_open: bool | None
default `= None`
If True, the REST routes of the backend will be open, allowing requests made
directly to those endpoints to skip the queue.
max_size: int | None
default `= None`
The maximum number of events the queue will store at any given moment. If the
queue is full, new events will not be added and a user will receive a message
saying that the queue is full. If None, the queue size will be unlimited.
default_concurrency_limit: int | None | Literal['not_set']
default `= "not_set"`
The default value of `concurrency_limit` to use for event listeners that don't
specify a value. Can be set by environment variable
GRADIO_DEFAULT_CONCURRENCY_LIMIT. Defaults to 1 if not set otherwise.
|
queue
|
https://gradio.app/docs/gradio/interface
|
Gradio - Interface Docs
|
Creates a dropdown of choices from which a single entry or multiple entries
can be selected (as an input component) or displayed (as an output component).
|
Description
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
**As input component** : Passes the value of the selected dropdown choice as a `str | int | float` or its index as an `int` into the function, depending on `type`. Or, if `multiselect` is True, passes the values of the selected dropdown choices as a list of corresponding values/indices instead.
Your function should accept one of these types:
def predict(
value: str | int | float | list[str | int | float] | list[int | None] | None
)
...
**As output component** : Expects a `str | int | float` corresponding to the value of the dropdown entry to be selected. Or, if `multiselect` is True, expects a `list` of values corresponding to the selected dropdown entries.
Your function should return one of these types:
def predict(···) -> str | int | float | list[str | int | float] | None
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
Parameters ▼
choices: list[str | int | float | tuple[str, str | int | float]] | None
default `= None`
a list of string or numeric options to choose from. An option can also be a
tuple of the form (name, value), where name is the displayed name of the
dropdown choice and value is the value to be passed to the function, or
returned by the function.
value: str | int | float | list[str | int | float] | Callable | DefaultValue | None
default `= DefaultValue()`
the value selected in dropdown. If `multiselect` is true, this should be list,
otherwise a single string or number from among `choices`. By default, the
first choice in `choices` is initally selected. If set explicitly to None, no
value is initally selected. If a function is provided, the function will be
called each time the app loads to set the initial value of this component.
type: Literal['value', 'index']
default `= "value"`
type of value to be returned by component. "value" returns the string of the
choice selected, "index" returns the index of the choice selected.
multiselect: bool | None
default `= None`
if True, multiple choices can be selected.
allow_custom_value: bool
default `= False`
if True, allows user to enter a custom value that is not in the list of
choices.
max_choices: int | None
default `= None`
maximum number of choices that can be selected. If None, no limit is enforced.
filterable: bool
default `= True`
if True, user will be able to type into the dropdown and filter the choices by
typing. Can only be set to False if `allow_custom_value` is False.
label: str | 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 compon
|
Initialization
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
`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, choices in this dropdown will be selectable; if False, selection will
be disabled. If not provided, this is inferred based on whether the component
is used as an input or output.
|
Initialization
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
ne`
if True, choices in this dropdown will be selectable; if False, selection will
be disabled. If not provided, this is inferred based on whether the component
is used as an input or output.
visible: bool | 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 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`
preserved_by_key: list[str] | str | None
default `= "value"`
|
Initialization
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
Class | Interface String Shortcut | Initialization
---|---|---
`gradio.Dropdown` | "dropdown" | Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
sentence_builder
Open in 🎢 ↗ import gradio as gr def sentence_builder(quantity, animal,
countries, place, activity_list, morning): return f"""The {quantity} {animal}s
from {" and ".join(countries)} went to the {place} where they {" and
".join(activity_list)} until the {"morning" if morning else "night"}""" demo =
gr.Interface( sentence_builder, [ gr.Slider(2, 20, value=4, label="Count",
info="Choose between 2 and 20"), gr.Dropdown( ["cat", "dog", "bird"],
label="Animal", info="Will add more animals later!" ),
gr.CheckboxGroup(["USA", "Japan", "Pakistan"], label="Countries", info="Where
are they from?"), gr.Radio(["park", "zoo", "road"], label="Location",
info="Where did they go?"), gr.Dropdown( ["ran", "swam", "ate", "slept"],
value=["swam", "slept"], multiselect=True, label="Activity", info="Lorem ipsum
dolor sit amet, consectetur adipiscing elit. Sed auctor, nisl eget ultricies
aliquam, nunc nisl aliquet nunc, eget aliquam nisl nunc vel nisl." ),
gr.Checkbox(label="Morning", info="Did they do it in the morning?"), ],
"text", examples=[ [2, "cat", ["Japan", "Pakistan"], "park", ["ate", "swam"],
True], [4, "dog", ["Japan"], "zoo", ["ate", "swam"], False], [10, "bird",
["USA", "Pakistan"], "road", ["ran"], False], [8, "cat", ["Pakistan"], "zoo",
["ate"], True], ] ) if __name__ == "__main__": demo.launch()
import gradio as gr
def sentence_builder(quantity, animal, countries, place, activity_list, morning):
return f"""The {quantity} {animal}s from {" and ".join(countries)} went to the {place} where they {" and ".join(activity_list)} until the {"morning" if morning else "night"}"""
demo = gr.Interface(
sentence_builder,
[
gr.Slider(2, 20, value=4, label="Count", info="Choose between 2 and 20"),
gr.Dropdown(
["cat", "dog", "bird"], label="Animal", info="Will add more animals later!"
),
gr.CheckboxGroup(["USA", "Japan", "Pakistan"], label="Countries",
|
Demos
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
gr.Dropdown(
["cat", "dog", "bird"], label="Animal", info="Will add more animals later!"
),
gr.CheckboxGroup(["USA", "Japan", "Pakistan"], label="Countries", info="Where are they from?"),
gr.Radio(["park", "zoo", "road"], label="Location", info="Where did they go?"),
gr.Dropdown(
["ran", "swam", "ate", "slept"], value=["swam", "slept"], multiselect=True, label="Activity", info="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed auctor, nisl eget ultricies aliquam, nunc nisl aliquet nunc, eget aliquam nisl nunc vel nisl."
),
gr.Checkbox(label="Morning", info="Did they do it in the morning?"),
],
"text",
examples=[
[2, "cat", ["Japan", "Pakistan"], "park", ["ate", "swam"], True],
[4, "dog", ["Japan"], "zoo", ["ate", "swam"], False],
[10, "bird", ["USA", "Pakistan"], "road", ["ran"], False],
[8, "cat", ["Pakistan"], "zoo", ["ate"], True],
]
)
if __name__ == "__main__":
demo.launch()
|
Demos
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown 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 Dropdown component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener | Description
---|---
`Dropdown.change(fn, ···)` | Triggered when the value of the Dropdown 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.
`Dropdown.input(fn, ···)` | This listener is triggered when the user changes the value of the Dropdown.
`Dropdown.select(fn, ···)` | Event listener for when the user selects or deselects the Dropdown. Uses event data gradio.SelectData to carry `value` referring to the label of the Dropdown, and `selected` to refer to state of the Dropdown. See EventData documentation on how to use this event data
`Dropdown.focus(fn, ···)` | This listener is triggered when the Dropdown is focused.
`Dropdown.blur(fn, ···)` | This listener is triggered when the Dropdown is unfocused/blurred.
`Dropdown.key_up(fn, ···)` | This listener is triggered when the user presses a key while the Dropdown is focused.
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[Compone
|
Event Listeners
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
nd 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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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: Com
|
Event Listeners
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
utput 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 have
not yet run (or generators that are iterating) will be cancelled,
|
Event Listeners
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
ick_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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None
|
Event Listeners
|
https://gradio.app/docs/gradio/dropdown
|
Gradio - Dropdown Docs
|
to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
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/dropdown
|
Gradio - Dropdown Docs
|
Displays an interactive table of parameters and their descriptions and
default values with syntax highlighting. For each parameter, the user should
provide a type (e.g. a `str`), a human-readable description, and a default
value. As this component does not accept user input, it is rarely used as an
input component. Internally, this component is used to display the parameters
of components in the Custom Component Gallery (<https://www.gradio.app/custom-
components/gallery).>
|
Description
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
**As input component** : (Rarely used) passes value as a `dict[str, dict]`.
The key in the outer dictionary is the parameter name, while the inner
dictionary has keys "type", "description", and "default" for each parameter.
Your function should accept one of these types:
def predict(
value: dict[str, Parameter]
)
...
**As output component** : Expects value as a `dict[str, dict]`. The key in
the outer dictionary is the parameter name, while the inner dictionary has
keys "type", "description", and "default" for each parameter.
Your function should return one of these types:
def predict(···) -> dict[str, Parameter]
...
return value
|
Behavior
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
Parameters ▼
value: dict[str, Parameter] | None
default `= None`
A dictionary of dictionaries. The key in the outer dictionary is the parameter
name, while the inner dictionary has keys "type", "description", and "default"
for each parameter. Markdown links are supported in "description".
language: Literal['python', 'typescript']
default `= "python"`
The language to display the code in. One of "python" or "typescript".
linkify: list[str] | None
default `= None`
A list of strings to linkify. If any of these strings is found in the
description, it will be rendered as a link.
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.
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
|
Initialization
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
er()
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.
header: str | None
default `= "Parameters"`
The header to display above the table of parameters, also includes a toggle
button that closes/opens all details at once. If None, no header will be
displayed.
anchor_links: bool | str
default `= False`
If True, creates anchor links for each parameter that can be used to link
directly to that parameter. If a string, creates anchor links with the given
string as the prefix to prevent conflicts with other ParamViewer components.
max_height: int | str | None
default `= None`
The maximum height of the component, specified in pixels if a number is
passed, or in CSS units if a string is passed. If content exceeds the height,
the parameter table will scroll vertically while the header remains fixed in
place. If content is shorter than the height, the component will shrink to fit
the content.
|
Initialization
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
Class | Interface String Shortcut | Initialization
---|---|---
`gradio.ParamViewer` | "paramviewer" | Uses default values
|
Shortcuts
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer 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 ParamViewer component supports the following event listeners. Each event
listener takes the same parameters, which are listed in the Event Parameters
table below.
Listener | Description
---|---
`ParamViewer.change(fn, ···)` | Triggered when the value of the ParamViewer 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.
`ParamViewer.upload(fn, ···)` | This listener is triggered when the user uploads a file into the ParamViewer.
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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, o
|
Event Listeners
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
on returns no
outputs, this should be an empty list.
api_name: str | None | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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
sh
|
Event Listeners
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
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 submission after the
pending event is complete.
js: str | Literal[True] | None
default `= None`
Optional frontend js method t
|
Event Listeners
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
`.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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
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 successfu
|
Event Listeners
|
https://gradio.app/docs/gradio/paramviewer
|
Gradio - Paramviewer Docs
|
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/paramviewer
|
Gradio - Paramviewer Docs
|
When gr.EventData or one of its subclasses is added as a type hint to an
argument of a prediction function, a gr.EventData 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. The gr.EventData
object itself contains a `.target` attribute that refers to the component that
triggered the event, while subclasses of gr.EventData contains additional
attributes that are different for each class.
|
Description
|
https://gradio.app/docs/gradio/eventdata
|
Gradio - Eventdata Docs
|
import gradio as gr
with gr.Blocks() as demo:
table = gr.Dataframe([[1, 2, 3], [4, 5, 6]])
gallery = gr.Gallery([("cat.jpg", "Cat"), ("dog.jpg", "Dog")])
textbox = gr.Textbox("Hello World!")
statement = gr.Textbox()
def on_select(value, evt: gr.EventData):
return f"The {evt.target} component was selected, and its value was {value}."
table.select(on_select, table, statement)
gallery.select(on_select, gallery, statement)
textbox.select(on_select, textbox, statement)
demo.launch()
|
Example Usage
|
https://gradio.app/docs/gradio/eventdata
|
Gradio - Eventdata Docs
|
Parameters ▼
target: Block | None
The component object that triggered the event. Can be used to distinguish
multiple components bound to the same listener.
|
Attributes
|
https://gradio.app/docs/gradio/eventdata
|
Gradio - Eventdata Docs
|
gallery_selectionstictactoe
Open in 🎢 ↗ import gradio as gr import numpy as np with gr.Blocks() as demo:
imgs = gr.State() gallery = gr.Gallery(allow_preview=False) def
deselect_images(): return gr.Gallery(selected_index=None) def
generate_images(): images = [] for _ in range(9): image = np.ones((100, 100,
3), dtype=np.uint8) * np.random.randint( 0, 255, 3 ) image is a solid single
color images.append(image) return images, images demo.load(generate_images,
None, [gallery, imgs]) with gr.Row(): selected = gr.Number(show_label=False)
darken_btn = gr.Button("Darken selected") deselect_button =
gr.Button("Deselect") deselect_button.click(deselect_images, None, gallery)
def get_select_index(evt: gr.SelectData): return evt.index
gallery.select(get_select_index, None, selected) def darken_img(imgs, index):
index = int(index) imgs[index] = np.round(imgs[index] * 0.8).astype(np.uint8)
return imgs, imgs darken_btn.click(darken_img, [imgs, selected], [imgs,
gallery]) if __name__ == "__main__": demo.launch()
import gradio as gr
import numpy as np
with gr.Blocks() as demo:
imgs = gr.State()
gallery = gr.Gallery(allow_preview=False)
def deselect_images():
return gr.Gallery(selected_index=None)
def generate_images():
images = []
for _ in range(9):
image = np.ones((100, 100, 3), dtype=np.uint8) * np.random.randint(
0, 255, 3
) image is a solid single color
images.append(image)
return images, images
demo.load(generate_images, None, [gallery, imgs])
with gr.Row():
selected = gr.Number(show_label=False)
darken_btn = gr.Button("Darken selected")
deselect_button = gr.Button("Deselect")
deselect_button.click(deselect_images, None, gallery)
def get_select_index(evt: gr.SelectData):
return evt.index
|
Demos
|
https://gradio.app/docs/gradio/eventdata
|
Gradio - Eventdata Docs
|
deselect_button = gr.Button("Deselect")
deselect_button.click(deselect_images, None, gallery)
def get_select_index(evt: gr.SelectData):
return evt.index
gallery.select(get_select_index, None, selected)
def darken_img(imgs, index):
index = int(index)
imgs[index] = np.round(imgs[index] * 0.8).astype(np.uint8)
return imgs, imgs
darken_btn.click(darken_img, [imgs, selected], [imgs, gallery])
if __name__ == "__main__":
demo.launch()
Open in 🎢 ↗ import gradio as gr with gr.Blocks() as demo: turn =
gr.Textbox("X", interactive=False, label="Turn") board =
gr.Dataframe(value=[["", "", ""]] * 3, interactive=False, type="array") def
place(board: list[list[int]], turn, evt: gr.SelectData): if evt.value: return
board, turn board[evt.index[0]][evt.index[1]] = turn turn = "O" if turn == "X"
else "X" return board, turn board.select(place, [board, turn], [board, turn],
show_progress="hidden") if __name__ == "__main__": demo.launch()
import gradio as gr
with gr.Blocks() as demo:
turn = gr.Textbox("X", interactive=False, label="Turn")
board = gr.Dataframe(value=[["", "", ""]] * 3, interactive=False, type="array")
def place(board: list[list[int]], turn, evt: gr.SelectData):
if evt.value:
return board, turn
board[evt.index[0]][evt.index[1]] = turn
turn = "O" if turn == "X" else "X"
return board, turn
board.select(place, [board, turn], [board, turn], show_progress="hidden")
if __name__ == "__main__":
demo.launch()
|
Demos
|
https://gradio.app/docs/gradio/eventdata
|
Gradio - Eventdata Docs
|
Column is a layout element within Blocks that renders all children
vertically. The widths of columns can be set through the `scale` and
`min_width` parameters. If a certain scale results in a column narrower than
min_width, the min_width parameter will win.
|
Description
|
https://gradio.app/docs/gradio/column
|
Gradio - Column Docs
|
with gr.Blocks() as demo:
with gr.Row():
with gr.Column(scale=1):
text1 = gr.Textbox()
text2 = gr.Textbox()
with gr.Column(scale=4):
btn1 = gr.Button("Button 1")
btn2 = gr.Button("Button 2")
|
Example Usage
|
https://gradio.app/docs/gradio/column
|
Gradio - Column Docs
|
Parameters ▼
scale: int
default `= 1`
relative width compared to adjacent Columns. For example, if Column A has
scale=2, and Column B has scale=1, A will be twice as wide as B.
min_width: int
default `= 320`
minimum pixel width of Column, will wrap if not sufficient screen space to
satisfy this value. If a certain scale value results in a column narrower than
min_width, the min_width parameter will be respected first.
variant: Literal['default', 'panel', 'compact']
default `= "default"`
column type, 'default' (no background), 'panel' (gray background color and
rounded corners), or 'compact' (rounded corners and no internal gap).
visible: bool | Literal['hidden']
default `= True`
If False, column 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, 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.
show_progress: bool
default `= False`
If True, shows progress animation when being updated.
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
|
Initialization
|
https://gradio.app/docs/gradio/column
|
Gradio - Column Docs
|
ved_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/column
|
Gradio - Column Docs
|
A TabbedInterface is created by providing a list of Interfaces or Blocks,
each of which gets rendered in a separate tab. Only the components from the
Interface/Blocks will be rendered in the tab. Certain high-level attributes of
the Blocks (e.g. custom `css`, `js`, and `head` attributes) will not be
loaded.
|
Description
|
https://gradio.app/docs/gradio/tabbedinterface
|
Gradio - Tabbedinterface Docs
|
Parameters ▼
interface_list: list[Blocks]
A list of Interfaces (or Blocks) to be rendered in the tabs.
tab_names: list[str] | None
default `= None`
A list of tab names. If None, the tab names will be "Tab 1", "Tab 2", etc.
title: str | None
default `= None`
The tab title to display when this demo is opened in a browser window.
theme: Theme | str | None
default `= None`
A Theme object or a string representing a theme. If a string, will look for a
built-in theme with that name (e.g. "soft" or "default"), or will attempt to
load a theme from the Hugging Face Hub (e.g. "gradio/monochrome"). If None,
will use the Default theme.
analytics_enabled: bool | None
default `= None`
Whether to allow basic telemetry. If None, will use GRADIO_ANALYTICS_ENABLED
environment variable or default to True.
css: str | None
default `= None`
Custom css as a string or path to a css file. This css will be included in the
demo webpage.
js: str | Literal[True] | None
default `= None`
Custom js as a string or path to a js file. The custom js should in the form
of a single js function. This function will automatically be executed when the
page loads. For more flexibility, use the head parameter to insert js inside
<script> tags.
head: str | None
default `= None`
Custom html to insert into the head of the demo webpage. This can be used to
add custom meta tags, multiple scripts, stylesheets, etc. to the page.
|
Initialization
|
https://gradio.app/docs/gradio/tabbedinterface
|
Gradio - Tabbedinterface Docs
|
tabbed_interface_lite
Open in 🎢 ↗ import gradio as gr hello_world = gr.Interface(lambda name: "Hello
" + name, "text", "text") bye_world = gr.Interface(lambda name: "Bye " + name,
"text", "text") chat = gr.ChatInterface(lambda *args: "Hello " + args[0]) demo
= gr.TabbedInterface([hello_world, bye_world, chat], ["Hello World", "Bye
World", "Chat"]) if __name__ == "__main__": demo.launch()
import gradio as gr
hello_world = gr.Interface(lambda name: "Hello " + name, "text", "text")
bye_world = gr.Interface(lambda name: "Bye " + name, "text", "text")
chat = gr.ChatInterface(lambda *args: "Hello " + args[0])
demo = gr.TabbedInterface([hello_world, bye_world, chat], ["Hello World", "Bye World", "Chat"])
if __name__ == "__main__":
demo.launch()
|
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
Open in 🎢 ↗ import gradio as gr with gr.Blocks() as demo: with
gr.Walkthrough(selected=0) as walkthrough: with gr.Step("Image", id=0): image
= gr.Image() btn = gr.Button("go to prompt") btn.click(lambda:
gr.Walkthrough(selected=1), outputs=walkthrough) with gr.Step("Prompt", id=1):
prompt = gr.Textbox() btn = gr.Button("generate") btn.click(lambda:
gr.Walkthrough(selected=2), outputs=walkthrough) with gr.Step("Result", id=2):
gr.Image(label="result", interactive=False) if __name__ == "__main__":
demo.launch()
import gradio as gr
with gr.Blocks() as demo:
with gr.Walkthrough(selected=0) as walkthrough:
with gr.Step("Image", id=0):
image = gr.Image()
btn = gr.Button("go to prompt")
btn.click(lambda: gr.Walkthrough(selected=1), outputs=walkthrough)
with gr.Step("Prompt", id=1):
prompt = gr.Textbox()
btn = gr.Button("generate")
btn.click(lambda: gr.Walkthrough(selected=2), outputs=walkthrough)
with gr.Step("Result", id=2):
gr.Image(label="result", interactive=False)
if __name__ == "__main__":
demo.launch()
|
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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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 ev
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
t `= 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 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 thi
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
essing 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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio cl
|
change
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
the lowest set concurrency_limit.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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 r
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
se`
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 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 listen
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
f 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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. U
|
select
|
https://gradio.app/docs/gradio/walkthrough
|
Gradio - Walkthrough Docs
|
st set concurrency_limit.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
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
Open in 🎢 ↗ import gradio as gr import numpy as np from PIL import Image,
ImageColor def change_color(icon, color): """ Function that given an icon in
.png format changes its color Args: icon: Icon whose color needs to be
changed. color: Chosen color with which to edit the input icon. Returns:
edited_image: Edited icon. """ img = icon.convert("LA") img =
img.convert("RGBA") image_np = np.array(icon) _, _, _, alpha = image_np.T mask
= alpha > 0 image_np[..., :-1][mask.T] = ImageColor.getcolor(color, "RGB")
edited_image = Image.fromarray(image_np) return edited_image inputs = [
gr.Image(label="icon", type="pil", image_mode="RGBA"),
gr.ColorPicker(label="color"), ] outputs = gr.Image(label="colored icon") demo
= gr.Interface( fn=change_color, inputs=inputs, outputs=outputs ) if __name__
== "__main__": demo.launch()
import gradio as gr
import numpy as np
from PIL import Image, ImageColor
def change_color(icon, color):
"""
Function that given an icon in .png format changes its color
Args:
icon: Icon whose color needs to be changed.
color: Chosen color with which to edit the input icon.
Returns:
edited_image: Edited icon.
"""
img = icon.convert("LA")
img = img.convert("RGBA")
image_np = np.array(icon)
_, _, _, alpha = image_np.T
mask = alpha > 0
image_np[..., :-1][mask.T] = ImageColor.getcolor(color, "RGB")
edited_image = Image.fromarray(image_np)
return edited_image
inputs = [
gr.Image(label="icon", type="pil", image_mode="RGBA"),
gr.ColorPicker(label="color"),
]
outputs = gr.Image(label="colored icon")
demo = gr.Interface(
fn=change_color,
inputs=inputs,
outputs=outputs
)
if __name__ == "__main__":
demo.launch()
|
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 | Bloc
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
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 | Literal[False]
default `= None`
defines how the endpoint appears in the API docs. Can be a string, None, or
False. 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. If False, the endpoint will not be exposed in the API docs
and downstream apps (including those that `gr.load` this app) will not be able
to use this event.
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 pla
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
ent 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 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 whi
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
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.
show_api: bool
default `= True`
whether to show this event in the "view API" page of the Gradio app, or in the
".view_api()" method of the Gradio clients. Unlike setting api_name to False,
setting show_api to False will still allow downstream apps as well as the
Clients to use this event. If fn is None, show_api will automatically be set
to False.
time_limit: int | None
default `= None`
stream_every: float
default `= 0.5`
like_user_message: bool
default `= False`
key: int | str | tuple[int | str, ...] | None
default `= None`
A unique key for this event listener to be used in @gr.render(
|
Event Listeners
|
https://gradio.app/docs/gradio/colorpicker
|
Gradio - Colorpicker Docs
|
like_user_message: bool
default `= False`
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/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
Open in 🎢 ↗ import gradio as gr def predict(text, request: gr.Request):
headers = request.headers host = request.client.host user_agent =
request.headers["user-agent"] return { "ip": host, "user_agent": user_agent,
"headers": headers, } gr.Interface(predict, "text", "json").launch()
import gradio as gr
def predict(text, request: gr.Request):
headers = request.headers
host = request.client.host
user_agent = request.headers["user-agent"]
return {
"ip": host,
"user_agent": user_agent,
"headers": headers,
}
gr.Interface(predict, "text", "json").launch()
|
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
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.