+jdZddlmZddlmZmZddlmZmZm Z ddl m Z ddl m Z ddlmZmZddlmZdd lmZerdd lmZe Gd d e eZd S)zgr.WorkflowCanvas() component.) annotations)CallableSequence) TYPE_CHECKINGAnyLiteral)document) BlockContext) Componentserver)Events)I18nData)TimercxeZdZdZejgZ d(ddddddddddddd d)dZd*d Zd*d!Z d+d#Z d,d$Z d-d&Z d'Z dS).WorkflowCanvasa Visual canvas for building AI pipelines by connecting Hugging Face Spaces. Used internally by `gr.Workflow`. Can also be used directly if you need fine-grained control over the server functions exposed to the canvas. Example: ```python import gradio as gr with gr.Blocks() as demo: canvas = gr.WorkflowCanvas(server_functions=[my_fn]) demo.launch() ``` NFTvalue) labeleveryinputs show_labelvisibleelem_id elem_classesrenderkeypreserved_by_key containerserver_functions&str | Callable[..., str | None] | Nonerstr | I18nData | NonerTimer | float | Noner7Component | Sequence[Component] | set[Component] | Nonerboolrbool | Literal['hidden']r str | Nonerlist[str] | str | Nonerr(int | str | tuple[int | str, ...] | Nonerrrlist[Callable] | Nonec tj||||| | | tj||||||||| | | ||  | rt}| D]}t |dt |}||vrt d|d||t|}t||||j |dSdS)a Parameters: value: Initial workflow JSON string. If a callable is passed, it is called on each browser session load and its return value is used as the initial workflow. label: Label for this component. every: Continously calls `value` to recalculate it if `value` is a function. inputs: Components used as inputs to calculate `value` if `value` is a function. show_label: If True, the label will be displayed. visible: If False, component will be hidden. elem_id: Optional string assigned as the id of this component in the DOM. elem_classes: Optional list of strings assigned as the classes of this component. render: If False, component will not be rendered in the Blocks context. key: In a gr.render, components with the same key across re-renders are treated as the same component. preserved_by_key: Parameters preserved across re-renders with the same key. container: If True, displayed in a container. server_functions: Python functions callable from the canvas frontend via the `server` object. )rrrrrr) rrrrrrrrrrrr__name__z0WorkflowCanvas: duplicate server_function name 'z-'. Each function must have a unique __name__.N) r __init__r setgetattrstr ValueErroraddr setattr server_fnsappend)selfrrrrrrrrrrrrrseenfnfn_name decorateds d/home/wildlama/visual-decline/.venv/lib/python3.11/site-packages/gradio/components/workflowcanvas.pyr+zWorkflowCanvas.__init__'sCB  %-      !%-      2 UUD& 2 2!"j#b''::d??$E7EEE!!!"2JJ gy111&&y1111 2 2 2 2returnrcdSNr4s r9example_payloadzWorkflowCanvas.example_payloadntr:cdSr=r>r?s r9 example_valuezWorkflowCanvas.example_valueqrAr:payloadc|Sr=r>)r4rDs r9 preprocesszWorkflowCanvas.preprocesstsr:c|Sr=r>)r4rs r9 postprocesszWorkflowCanvas.postprocessws r:dict[str, Any]c ddiS)Ntypestringr>r?s r9api_infozWorkflowCanvas.api_infozs !!r:cdS)Nworkflowcanvasr>r?s r9get_block_namezWorkflowCanvas.get_block_name}sr:r=)rrrr rr!rr"rr#rr$rr%rr&rr#rr'rr&rr#rr()r;r)rDr%r;r%)rr%r;r%)r;rI)r* __module__ __qualname____doc__r changeEVENTSr+r@rCrFrHrMrPr>r:r9rrs m_F9=E2(,&*JN ,0"/38<3:26E2E2E2E2E2E2N""""     r:rN)rS __future__rcollections.abcrrtypingrrrgradio_client.documentationr gradio.blocksr gradio.components.baser r gradio.eventsr gradio.i18nrgradio.componentsrrr>r:r9r_s$$""""""..................000000&&&&&&44444444 ('''''' j j j j j \9j j  j j j r: