# Slider ## Introduction **`Slider`** is a widget in Supervisely that allows users to input numerical values within a specific range. The widget is commonly used to set parameters such as batch size in machine learning models. Users can adjust the slider handle to select the desired value, and the corresponding numerical value is displayed. `Slider` widget also provides users with the ability to customize the slider range, height in vertical mode and step size between values, allowing for more precise and flexible inputs. ## Function signature ```python Slider( value=0, min=0, max=100, step=1, show_input=False, show_input_controls=False, show_stops=False, show_tooltip=True, range=False, vertical=False, height=None, widget_id=None, ) ```

### min Determine `Slider` minimum value. **type:** `int` **default value:** `0` ### max Determine `Slider` maximum value. **type:** `int` **default value:** `100` ```python slider = Slider(min=30, max=50) ```

### step Determine step size. **type:** `int` **default value:** `1` ```python slider = Slider(step=5) ```

### show\_input Whether to display an input box, works when `range` is false. **type:** `bool` **default value:** `false` ```python slider = Slider(show_input=True) ```

### show\_input\_controls Whether to display control buttons when `show-input` is true. **type:** `bool` **default value:** `false` ```python slider = Slider(show_input=True, show_input_controls=True) ```

### show\_stops Whether to display breakpoints. **type:** `bool` **default value:** `false` ```python slider = Slider(show_stops=True, max=20, step=5) ```

### show\_tooltip Whether to display tooltip value. **type:** `bool` **default value:** `true` ```python slider = Slider(show_tooltip=False) ```

### range Determine whether to select a range, equires value to be List\[int, int]. **type:** `bool` **default value:** `true` ```python slider = Slider(value=[5, 20], range=True) ```

### vertical Determine vertical mode. **type:** `bool` **default value:** `false` ### height Determine `Slider` height, required in vertical mode. **type:** `int` **default value:** `None` ```python slider = Slider(vertical=True, height=100) ```

### style Specifies an inline style for an element. **type:** `str` **default value:** "" ```python slider = Slider(value=15, min=5, max=50, style="padding: 20px;") ``` ### widget\_id ID of the widget. **type:** `str` **default value:** `None` ## Methods and attributes | Attributes and Methods | Description | | :----------------------------------------------: | --------------------------------------------------- | | `set_value(value: Union[int, float, List[int]])` | Set `Slider` value. | | `get_value()` | Return `Slider` value. | | `set_min()` | Set `Slider` minimum. | | `get_min()` | Return `Slider` minimum. | | `set_max()` | Set `Slider` maximum. | | `get_max()` | Return `Slider` maximum. | | `set_step()` | Set `Slider` step. | | `get_step()` | Return `Slider` step. | | `is_input_enabled()` | Return `Slider` `showInput` value. | | `show_input()` | Set `showInput` value to `True`. | | `hide_input()` | Set `showInput` value to `False`. | | `is_input_controls_enabled()` | Return `Slider` `showInputControls` value. | | `show_input_controls()` | Set `showInputControls` value to `True`. | | `hide_input_controls()` | Set `showInputControls` value to `False`. | | `is_step_enabled()` | Return `Slider` `showStops` value. | | `show_steps()` | Set `showStops` value to `True`. | | `hide_steps()` | ESet `showStops` value to `False`. | | `is_tooltip_enabled()` | Return `Slider` `showTooltip` value. | | `show_tooltip()` | Set `showTooltip` value to `True`. | | `hide_tooltip()` | Set `showTooltip` value to `False`. | | `@value_changed` | Decorator function is handled when value is changed | ## Mini App Example You can find this example in our Github repository: [ui-widgets-demos/controls/005\_slider/src/main.py](https://github.com/supervisely-ecosystem/ui-widgets-demos/blob/master/controls/005_slider/src/main.py) ### Import libraries ```python import os import supervisely as sly from dotenv import load_dotenv from supervisely.app.widgets import Card, Container, Slider, Text ``` ### 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() ``` ### Create `Text` widget we will use in UI for demo `Slider` widget ```python text = Text() ``` ### Initialize `Slider` widget ```python slider = Slider( value=[10, 50], step=5, range=True, show_stops=True, ) ``` ### 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 card = Card(title="Slider", content=Container([slider, text])) 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 code ```python @slider.value_changed def show_value(value): text.text = value ```

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