metadata

license: mit
title: Cofolding Input
sdk: gradio
colorFrom: red

`gradio_cofoldinginput`

Component to enter protein and DNA sequences + small molecules for cofolding

Installation

pip install gradio_cofoldinginput

Usage


import gradio as gr
from gradio_cofoldinginput import CofoldingInput

import json


def predict(input):
    input = json.dumps(input)
    return input

with gr.Blocks() as demo:
    jobname = gr.Textbox(label="Job Name")
    inp=CofoldingInput(label="Input")

    preinput =  {"chains": [
        {
            "class": "DNA",
            "sequence": "ATGCGT",
            "chain": "A",
            "msa": True
        },
        {
            "class": "protein",
            "sequence": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
            "chain": "B",
            "msa": True
        },
        {
            "class": "ligand",
            "name": "ZN",
            "smiles": "",
            "sdf": "",
            "chain": "C"
        },
        {
            "class": "ligand",
            "smiles": "CCCCCCCCCCCCCCCCCCCC",
            "name": "",
            "sdf": "",
            "chain": "D"
        }
    ], "covMods":[]
    }
    # inp2=CofoldingInput(preinput, label="Input prefilled")
    btn = gr.Button("Submit")
    out = gr.HTML()

    gr.Examples([["test",preinput]], inputs=[jobname,inp])

    btn.click(predict, inputs=[inp], outputs=[out])

if __name__ == "__main__":
    demo.launch()

`CofoldingInput`

Initialization

name	type	default	description
`value`	`dict \| None`	`{"chains": [], "covMods": []}`	list of items.
`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.
`info`	`str \| None`	`None`	additional component description.
`every`	`float \| None`	`None`	If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
`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.
`interactive`	`bool \| None`	`None`	if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
`visible`	`bool`	`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.
`autofocus`	`bool`	`False`	If True, will focus on the textbox when the page loads. Use this carefully, as it can cause usability issues for sighted and non-sighted users.
`autoscroll`	`bool`	`True`	None
`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.

Events

name	description
`change`	Triggered when the value of the CofoldingInput 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.
`input`	This listener is triggered when the user changes the value of the CofoldingInput.
`select`	Event listener for when the user selects or deselects the CofoldingInput. Uses event data gradio.SelectData to carry `value` referring to the label of the CofoldingInput, and `selected` to refer to state of the CofoldingInput. See EventData documentation on how to use this event data
`submit`	This listener is triggered when the user presses the Enter key while the CofoldingInput is focused.
`focus`	This listener is triggered when the CofoldingInput is focused.
`blur`	This listener is triggered when the CofoldingInput is unfocused/blurred.

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

When used as an Input, the component only impacts the input signature of the user function.
When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

As input: Should return, expects a {str} returned from function and sets textarea value to it.

def predict(
    value: Unknown
) -> dict | None:
    return value