Introducing Gradio 5.0
Read MoreIntroducing Gradio 5.0
Read MoreNew to Gradio? Start here: Getting Started
See the Release History
To install Gradio from main, run the following command:
pip install https://gradio-builds.s3.amazonaws.com/ac9bf5ec9208b92579f36ee94a247ae3e676c02f/gradio-5.6.0-py3-none-any.whl
*Note: Setting share=True
in
launch()
will not work.
gradio.File(···)
str
or bytes
object, or a list of str
or list of bytes
objects, depending on type
and file_count
.def predict(
value: bytes | str | list[bytes] | list[str] | None
)
...
str
filepath or URL, or a list[str]
of filepaths/URLs.def predict(···) -> str | list[str] | None
...
return value
value: str | list[str] | Callable | None
= None
Default file(s) to display, given as a str file path or URL, or a list of str file paths / URLs. If callable, the function will be called whenever the app loads to set the initial value of the component.
file_count: Literal['single', 'multiple', 'directory']
= "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
= 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']
= "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 | None
= None
the label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
every: Timer | float | None
= 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
= 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
= None
if True, will display label.
container: bool
= True
If True, will place the component in a container - providing some extra padding around the border.
scale: int | None
= None
relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width: int
= 160
minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
height: int | float | None
= 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
= 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
= True
If False, component will be hidden.
elem_id: str | None
= None
An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes: list[str] | str | None
= None
An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render: bool
= True
If False, component will not 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 | None
= None
if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.
Class | Interface String Shortcut | Initialization |
---|---|---|
| "file" | Uses default values |
| "files" | Uses file_count="multiple" |
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.
The File component supports the following event listeners. Each event listener takes the same parameters, which are listed in the Event Parameters table below.
Listener | Description |
---|---|
| Triggered when the value of the File changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See |
| Event listener for when the user selects or deselects the File. Uses event data gradio.SelectData to carry |
| This listener is triggered when the user clears the File using the clear button for the component. |
| This listener is triggered when the user uploads a file into the File. |
| This listener is triggered when the user deletes and item from the File. Uses event data gradio.DeletedFileData to carry |
| This listener is triggered when the user downloads a file from the File. Uses event data gradio.DownloadData to carry information about the downloaded file as a FileData object. See EventData documentation on how to use this event data |
fn: Callable | None | Literal['decorator']
= "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
= 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
= 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]
= 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.
scroll_to_output: bool
= False
If True, will scroll to output component on completion
show_progress: Literal['full', 'minimal', 'hidden']
= "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
queue: bool
= 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
= 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
= 4
Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
preprocess: bool
= 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
= 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
= 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
= 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 | None
= 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"
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
= 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
= 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
= None
stream_every: float
= 0.5
like_user_message: bool
= False