# Checkbox

## Introduction

This widget is a simple and intuitive interface element that allows users to select given option. The **`Checkbox`** widget can be customized with different label text and default state. By providing an easy and efficient way to make selections, the `Checkbox` widget is an essential tool for any image or video annotation project.

## Function signature

```python
checkbox = Checkbox(
    content="Enable",
    checked=False,
    widget_id=None,
)
```

<figure><img src="https://user-images.githubusercontent.com/79905215/218074113-182c113e-5ac4-47ce-96b2-ace63dc59564.png" alt=""><figcaption></figcaption></figure>

## Parameters

|  Parameters |         Type         |              Description             |
| :---------: | :------------------: | :----------------------------------: |
|  `content`  | `Union[Widget, str]` |           Checkbox content           |
|  `checked`  |        `bool`        | Return `True` if checkbox is checked |
| `widget_id` |         `str`        |           ID of the widget           |

### content

Checkbox content.

**type:** `Union[Widget, str]`

```python
checkbox = Checkbox(content="Enable")
```

### checked

Whether Checkbox is checked. Return `True` if checked.

**type:** `bool`

**default value:** `False`

```python
checkbox = Checkbox(content="Enable", checked=True)
```

<figure><img src="https://user-images.githubusercontent.com/79905215/218074377-5c0ceb1e-dc3d-4405-92e2-e3b0b0602d59.png" alt=""><figcaption></figcaption></figure>

### widget\_id

ID of the widget.

**type:** `str`

**default value:** `None`

## Methods and attributes

| Attributes and Methods | Description                                                   |
| :--------------------: | ------------------------------------------------------------- |
|     `is_checked()`     | Return `True` if checked, else `False`.                       |
|        `check()`       | Enable `checked` property.                                    |
|       `uncheck()`      | Disable `checked` property.                                   |
|    `@value_changed`    | Decorator function is handled when checkbox value is changed. |

## Mini App Example

You can find this example in our Github repository:

[ui-widgets-demos/controls/002\_checkbox/src/main.py](https://github.com/supervisely-ecosystem/ui-widgets-demos/blob/master/controls/002_checkbox/src/main.py)

### Import libraries

```python
import os

import supervisely as sly
from dotenv import load_dotenv
from supervisely.app.widgets import (
    Button,
    Card,
    Checkbox,
    Container,
    NotificationBox,
    SelectDataset,
)
```

### Init API client

First, we load environment variables with credentials and init API for communicating with Supervisely Instance:

```python
load_dotenv("local.env")
load_dotenv(os.path.expanduser("~/supervisely.env"))

api = sly.Api()
```

### Initialize `Project ID` we will use

```python
project_id = sly.env.project_id()
```

### Initialize `Checkbox` widget

```python
checkbox = Checkbox(
    content="Enable",
    checked=False,
)
```

### Create more widgets

In this tutorial we will use `SelectDataset`, `Button`, `NotificationBox` widgets to show how to control `Checkbox` widget from python code.

```python
select_dataset = SelectDataset(
    project_id=project_id,
    compact=True,
)

show_btn = Button(text="Show info")

note = NotificationBox()
note.hide()
```

### Create app layout

Prepare a layout for app using `Card` widget with the `content` parameter and place widget that we've just created in the `Container` widget.

```python
# create new cards
card = Card(
    title="Checkbox demo",
    content=Container(widgets=[select_dataset, checkbox, show_btn, note]),
)
layout = Container(widgets=[card])
```

### Create app using layout

Create an app object with layout parameter.

```python
app = sly.Application(layout=layout)
```

### Add functions to control widget from python code

```python
@checkbox.value_changed
def hide_notification(value):
    if value is True:
        select_dataset.disable()
    else:
        select_dataset.enable()

    note.hide()


@show_btn.click
def show_info():
    images_count = 0

    if checkbox.is_checked():
        datasets_list = api.dataset.get_list(project_id=project_id)
        select_dataset.disable()
        for dataset in datasets_list:
            images_count += dataset.images_count if dataset.images_count is not None else 0

    else:
        ds_id = select_dataset.get_selected_id()
        dataset = api.dataset.get_info_by_id(ds_id)
        images_count = dataset.images_count

    note.title = f"Total count of images in selected datasets: {images_count}."
    note.show()
```

<figure><img src="https://user-images.githubusercontent.com/79905215/218137018-56ad2e50-aee0-4c84-aafd-d510af804bc7.gif" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://developer.supervisely.com/app-development/widgets/controls/checkbox.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
