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---
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tags: [gradio-custom-component, ui, form, settings, dataclass]
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title: gradio_propertysheet
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short_description: Property Sheet Component for Gradio
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colorFrom: blue
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colorTo: green
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sdk: gradio
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pinned: true
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app_file: space.py
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---
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# `gradio_propertysheet`
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<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.13%20-%20blue"> <a href="https://huggingface.co/spaces/elismasilva/gradio_propertysheet"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo-blue"></a><p><span>💻 <a href='https://github.com/DEVAIEXP/gradio_component_propertysheet'>Component GitHub Code</a></span></p>
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The **PropertySheet** component for Gradio allows you to automatically generate a complete and interactive settings panel from a standard Python `dataclass`. It's designed to bring the power of IDE-like property editors directly into your Gradio applications.
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<img src="https://huggingface.co/datasets/DEVAIEXP/assets/resolve/main/gradio_propertysheet_demo.png" alt="PropertySheet Demo">
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## Key Features
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- **Automatic UI Generation**: Instantly converts `dataclass` fields into a structured UI.
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- **Rich Component Support**: Automatically maps Python types to UI controls:
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- `str` -> Text Input
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- `int`, `float` -> Number Input
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- `bool` -> Styled Checkbox
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- `typing.Literal` -> Dropdown
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- **Metadata-Driven Components**: Force a specific component using metadata:
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- `metadata={"component": "slider"}`
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- `metadata={"component": "radio"}`
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- `metadata={"component": "colorpicker"}`
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- **Nested Groups**: Nested `dataclasses` are rendered as collapsible groups for organization.
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- **Conditional Visibility**: Show or hide fields based on the value of others using `interactive_if` metadata.
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- **Built-in Helpers**:
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- **Tooltips**: Add `help` text to any property's metadata for an info icon.
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- **Reset Button**: Each property gets a button to reset its value to default.
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- **Accordion Layout**: The entire component can act as a main collapsible accordion panel using the `open` parameter.
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- **Theme-Aware**: Designed to look and feel native in all Gradio themes.
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- **Dynamic Updates**: Supports advanced patterns where changing one field (e.g., a model selector) can dynamically update the options of another field (e.g., a sampler dropdown).
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## Installation
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```bash
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pip install gradio_propertysheet
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```
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## Usage
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```python
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import os
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import json
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import gradio as gr
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from dataclasses import dataclass, field, asdict
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from typing import Literal
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from gradio_propertysheet import PropertySheet
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from gradio_htmlinjector import HTMLInjector
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# --- 1. Dataclass Definitions (unchanged) ---
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@dataclass
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class APISettings:
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api_key: str = field(
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default="ab123cd45ef67890ghij123klmno456p",
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metadata={
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"label": "API Key",
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"component": "password",
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"help": "Your secret API key. It will not be displayed."
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}
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)
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endpoint_url: str = field(
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default="https://api.example.com",
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metadata={
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"label": "API Endpoint",
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"component": "string", # string normal
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"help": "The URL of the API server."
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}
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)
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@dataclass
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class QuantizationSettings:
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quantization_method: Literal["None", "Quanto Library", "Layerwise & Bnb"] = field(
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default="Layerwise & Bnb",
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metadata={
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"component": "radio",
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"label": "Quantization Method",
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"help": "Quantization mechanism to save VRAM and increase speed."
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}
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)
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# Option 1: Literal values
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quantize_mode_list: Literal["FP8", "INT8", "IN4"] = field(
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default="FP8",
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metadata={
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"interactive_if": {"field": "quantization_method", "value": ["Quanto Library", "Layerwise & Bnb"]},
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"component": "radio",
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"label": "Quantization Mode (List)",
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"help": "This becomes interactive if Quantization Method is 'Quanto' OR 'Layerwise'."
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}
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)
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# Option 2: neq operand
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quantize_mode_neq: Literal["FP8", "INT8", "IN4"] = field(
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default="FP8",
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metadata={
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"interactive_if": {"field": "quantization_method", "neq": "None"},
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"component": "radio",
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"label": "Quantization Mode (Not Equal)",
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"help": "This becomes interactive if Quantization Method is NOT 'None'."
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}
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)
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@dataclass
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class ModelSettings:
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model_type: Literal["SD 1.5", "SDXL", "Pony", "Custom"] = field(
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default="SDXL",
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metadata={
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"component": "dropdown",
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"label": "Base Model",
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"help": "Select the base diffusion model."
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}
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)
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custom_model_path: str = field(
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default="/path/to/default.safetensors",
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metadata={
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"label": "Custom Model Path",
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"interactive_if": {"field": "model_type", "value": "Custom"},
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"help": "Provide the local file path to your custom .safetensors or .ckpt model file. This is only active when 'Base Model' is set to 'Custom'."
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},
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)
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vae_path: str = field(
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default="",
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metadata={
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"label": "VAE Path (optional)",
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"help": "Optionally, provide a path to a separate VAE file to improve color and detail."
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}
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)
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@dataclass
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class SamplingSettings:
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scheduler: Literal["Karras", "Simple", "Exponential"] = field(
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default="Karras",
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metadata={
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"component": "radio",
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"label": "Scheduler",
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"help": "Determines how the noise schedule is interpreted during sampling. 'Karras' is often recommended for high-quality results."
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}
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)
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sampler_name: Literal["Euler", "Euler a", "DPM++ 2M Karras", "UniPC"] = field(
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default="DPM++ 2M Karras",
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metadata={
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"component": "dropdown",
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"label": "Sampler",
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"help": "The algorithm used to denoise the image over multiple steps. Different samplers can produce stylistically different results."
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}
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)
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steps: int = field(
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default=25,
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metadata={
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"component": "slider",
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"label": "Sampling Steps",
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"minimum": 1,
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"maximum": 150,
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"step": 1,
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"help": "The number of denoising steps. More steps can increase detail but also take longer. Values between 20-40 are common."
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}
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)
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cfg_scale: float = field(
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default=7.0,
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metadata={
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"component": "slider",
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"label": "CFG Scale",
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"minimum": 1.0,
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"maximum": 30.0,
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"step": 0.5,
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"help": "Classifier-Free Guidance Scale. Higher values make the image adhere more strictly to the prompt, while lower values allow for more creativity."
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}
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)
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enable_advanced: bool = field(
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default=False,
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metadata={
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"label": "Enable Advanced Settings",
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"help": "Check this box to reveal more experimental or fine-tuning options."
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}
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)
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advanced_option: float = field(
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default=0.5,
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metadata={
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"label": "Advanced Option",
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"component": "slider",
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"minimum": 0.0,
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"maximum": 1.0,
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"step": 0.01,
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"interactive_if": {"field": "enable_advanced", "value": True},
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"help": "An example of an advanced setting that is only visible when the corresponding checkbox is enabled."
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},
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)
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temperature: float = field(
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default=1.0,
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metadata={
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"label": "Sampling Temperature",
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"component": "number_float",
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"minimum": 0.1,
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"maximum": 2.0,
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"step": 0.1,
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"help": "Controls the randomness of the sampling process. A value of 1.0 is standard. Higher values increase diversity at the risk of artifacts."
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}
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)
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@dataclass
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class RenderConfig:
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api_settings: APISettings = field(
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default_factory=APISettings,
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metadata={"label": "API Settings"}
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)
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randomize_seed: bool = field(
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default=True,
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metadata={
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"label": "Randomize Seed",
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"help": "If checked, a new random seed will be used for each generation. Uncheck to use the specific seed value below."
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}
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)
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seed: int = field(
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default=-1,
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metadata={
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"component": "number_integer",
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"label": "Seed",
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"help": "The seed for the random number generator. A value of -1 means a random seed will be chosen. The same seed and settings will produce the same image."
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}
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)
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model: ModelSettings = field(
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default_factory=ModelSettings,
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metadata={"label": "Model Settings"}
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)
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sampling: SamplingSettings = field(
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default_factory=SamplingSettings,
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metadata={"label": "Sampling Settings"}
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)
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quantization: QuantizationSettings = field(
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default_factory=QuantizationSettings,
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metadata={"label": "Quantization Settings"}
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)
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@dataclass
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class Lighting:
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sun_intensity: float = field(
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default=1.0,
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metadata={
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"component": "slider",
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"label": "Sun Intensity",
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"minimum": 0,
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"maximum": 5,
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"step": 0.1,
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"help": "Controls the brightness of the main light source in the scene."
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}
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)
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color: str = field(
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default="#FFDDBB",
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metadata={
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"component": "colorpicker",
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"label": "Sun Color",
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"help": "Sets the color of the main light source."
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}
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)
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@dataclass
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class EnvironmentConfig:
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background: Literal["Sky", "Color", "Image"] = field(
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default="Sky",
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metadata={
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"component": "dropdown",
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"label": "Background Type",
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"help": "Choose the type of background for the environment."
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}
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)
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lighting: Lighting = field(
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default_factory=Lighting,
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metadata={"label": "Lighting"}
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)
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@dataclass
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class EulerSettings:
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s_churn: float = field(
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default=0.0,
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metadata={
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"component": "slider",
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"label": "S_Churn",
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"minimum": 0.0,
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"maximum": 1.0,
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"step": 0.01,
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"help": "Stochasticity churn factor for Euler samplers. Adds extra noise at each step, affecting diversity. 0.0 is deterministic."
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}
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)
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@dataclass
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class DPM_Settings:
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karras_style: bool = field(
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default=True,
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metadata={
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"label": "Use Karras Sigma Schedule",
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"help": "If checked, uses the Karras noise schedule, which is often recommended for DPM++ samplers to improve image quality, especially in later steps."
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}
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)
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# --- 2. Data Mappings and Initial Instances (unchanged) ---
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initial_render_config = RenderConfig()
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initial_env_config = EnvironmentConfig()
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sampler_settings_map_py = {
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"Euler": EulerSettings(),
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"DPM++ 2M Karras": DPM_Settings(),
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"UniPC": None,
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"CustomSampler": SamplingSettings()
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}
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model_settings_map_py = {
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"SDXL 1.0": DPM_Settings(),
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"Stable Diffusion 1.5": EulerSettings(),
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"Pony": None,
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}
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# --- 3. CSS & JS Injection function (unchanged) ---
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def inject_assets():
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"""
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This function prepares the payload of CSS, JS, and Body HTML for injection.
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"""
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popup_html = """<div id="injected_flyout_container" class="flyout-sheet" style="display: none;"></div>"""
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css_code = ""
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js_code = ""
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try:
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with open("custom.css", "r", encoding="utf-8") as f:
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css_code += f.read() + "\n"
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with open("custom.js", "r", encoding="utf-8") as f:
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js_code += f.read() + "\n"
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except FileNotFoundError as e:
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print(f"Warning: Could not read asset file: {e}")
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return {"js": js_code, "css": css_code, "body_html": popup_html}
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# --- 4. Gradio App Build ---
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with gr.Blocks(theme=gr.themes.Ocean(), title="PropertySheet Demos") as demo:
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html_injector = HTMLInjector()
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gr.Markdown("# PropertySheet Component Demos")
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with gr.Row():
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# --- Flyout popup ---
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with gr.Column(
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elem_id="flyout_panel_source", elem_classes=["flyout-source-hidden"]
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) as flyout_panel_source:
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close_btn = gr.Button("×", elem_classes=["flyout-close-btn"])
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flyout_sheet = PropertySheet(
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visible=True,
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container=False,
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label="Settings",
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show_group_name_only_one=False,
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disable_accordion=True,
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)
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with gr.Tabs():
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with gr.TabItem("Original Sidebar Demo"):
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gr.Markdown(
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"An example of using the `PropertySheet` component as a traditional sidebar for settings."
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)
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render_state = gr.State(value=initial_render_config)
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env_state = gr.State(value=initial_env_config)
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sidebar_visible = gr.State(False)
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with gr.Row():
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with gr.Column(scale=3):
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generate = gr.Button("Show Settings", variant="primary")
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with gr.Row():
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output_render_json = gr.JSON(label="Live Render State")
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output_env_json = gr.JSON(label="Live Environment State")
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with gr.Column(scale=1):
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render_sheet = PropertySheet(
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value=initial_render_config,
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label="Render Settings",
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width=400,
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height=550,
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visible=False,
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root_label="Generator",
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interactive=True
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)
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environment_sheet = PropertySheet(
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value=initial_env_config,
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label="Environment Settings",
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width=400,
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open=False,
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visible=False,
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root_label="General",
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interactive=True,
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root_properties_first=False
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)
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def change_visibility(is_visible, render_cfg, env_cfg):
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new_visibility = not is_visible
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button_text = "Hide Settings" if new_visibility else "Show Settings"
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return (
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new_visibility,
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gr.update(visible=new_visibility, value=render_cfg),
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gr.update(visible=new_visibility, value=env_cfg),
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gr.update(value=button_text),
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)
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def handle_render_change(
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updated_config: RenderConfig, current_state: RenderConfig
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):
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if updated_config is None:
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return current_state, asdict(current_state), current_state
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if updated_config.model.model_type != "Custom":
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updated_config.model.custom_model_path = "/path/to/default.safetensors"
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return updated_config, asdict(updated_config), updated_config
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def handle_env_change(
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updated_config: EnvironmentConfig, current_state: EnvironmentConfig
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):
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if updated_config is None:
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return current_state, asdict(current_state), current_state
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return updated_config, asdict(updated_config), current_state
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generate.click(
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fn=change_visibility,
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inputs=[sidebar_visible, render_state, env_state],
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outputs=[sidebar_visible, render_sheet, environment_sheet, generate],
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)
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render_sheet.change(
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fn=handle_render_change,
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inputs=[render_sheet, render_state],
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outputs=[render_sheet, output_render_json, render_state],
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)
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environment_sheet.change(
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fn=handle_env_change,
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inputs=[environment_sheet, env_state],
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outputs=[environment_sheet, output_env_json, env_state],
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)
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#In version 0.0.7, I moved the undo function to a new `undo` event. This was necessary to avoid conflict with the `change` event where it was previously implemented.
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# Now you need to implement the undo event for the undo button to work. You can simply receive the component as input and set it as output.
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def render_undo(updated_config: RenderConfig, current_state: RenderConfig):
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if updated_config is None:
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return current_state, asdict(current_state), current_state
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return updated_config, asdict(updated_config), current_state
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def environment_undo(updated_config: EnvironmentConfig, current_state: EnvironmentConfig):
|
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if updated_config is None:
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return current_state, asdict(current_state), current_state
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return updated_config, asdict(updated_config), current_state
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render_sheet.undo(fn=render_undo,
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inputs=[render_sheet, render_state],
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outputs=[render_sheet, output_render_json, render_state]
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)
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environment_sheet.undo(fn=environment_undo,
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inputs=[environment_sheet, env_state],
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outputs=[environment_sheet, output_env_json, env_state],
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)
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demo.load(
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fn=lambda r_cfg, e_cfg: (asdict(r_cfg), asdict(e_cfg)),
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inputs=[render_state, env_state],
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outputs=[output_render_json, output_env_json],
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)
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with gr.TabItem("Flyout Popup Demo"):
|
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gr.Markdown(
|
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"An example of attaching a `PropertySheet` as a flyout panel to other components."
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)
|
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# --- State Management ---
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flyout_visible = gr.State(False)
|
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active_anchor_id = gr.State(None)
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js_data_bridge = gr.Textbox(visible=False, elem_id="js_data_bridge")
|
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with gr.Column(elem_classes=["flyout-context-area"]):
|
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with gr.Row(
|
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elem_classes=["fake-input-container", "no-border-dropdown"]
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):
|
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sampler_dd = gr.Dropdown(
|
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choices=list(sampler_settings_map_py.keys()),
|
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label="Sampler",
|
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value="Euler",
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elem_id="sampler_dd",
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scale=10,
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)
|
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sampler_ear_btn = gr.Button(
|
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"⚙️",
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elem_id="sampler_ear_btn",
|
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scale=1,
|
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elem_classes=["integrated-ear-btn"],
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)
|
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with gr.Row(
|
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elem_classes=["fake-input-container", "no-border-dropdown"]
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):
|
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model_dd = gr.Dropdown(
|
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choices=list(model_settings_map_py.keys()),
|
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label="Model",
|
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value="SDXL 1.0",
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elem_id="model_dd",
|
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scale=10,
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)
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model_ear_btn = gr.Button(
|
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"⚙️",
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elem_id="model_ear_btn",
|
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scale=1,
|
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elem_classes=["integrated-ear-btn"],
|
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)
|
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|
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# --- Event Logic ---
|
|
def handle_flyout_toggle(
|
|
is_vis, current_anchor, clicked_dropdown_id, settings_obj
|
|
):
|
|
if is_vis and current_anchor == clicked_dropdown_id:
|
|
js_data = json.dumps({"isVisible": False, "anchorId": None})
|
|
return False, None, gr.update(), gr.update(value=js_data)
|
|
else:
|
|
js_data = json.dumps(
|
|
{"isVisible": True, "anchorId": clicked_dropdown_id}
|
|
)
|
|
return (
|
|
True,
|
|
clicked_dropdown_id,
|
|
gr.update(value=settings_obj),
|
|
gr.update(value=js_data),
|
|
)
|
|
|
|
def update_ear_visibility(selection, settings_map):
|
|
has_settings = settings_map.get(selection) is not None
|
|
return gr.update(visible=has_settings)
|
|
|
|
def on_flyout_change(updated_settings, active_id, sampler_val, model_val):
|
|
if updated_settings is None or active_id is None:
|
|
return
|
|
if active_id == sampler_dd.elem_id:
|
|
sampler_settings_map_py[sampler_val] = updated_settings
|
|
elif active_id == model_dd.elem_id:
|
|
model_settings_map_py[model_val] = updated_settings
|
|
|
|
def close_the_flyout():
|
|
js_data = json.dumps({"isVisible": False, "anchorId": None})
|
|
return False, None, gr.update(value=js_data)
|
|
|
|
js_update_flyout = "(jsonData) => { update_flyout_from_state(jsonData); }"
|
|
|
|
sampler_dd.change(
|
|
fn=lambda sel: update_ear_visibility(sel, sampler_settings_map_py),
|
|
inputs=[sampler_dd],
|
|
outputs=[sampler_ear_btn],
|
|
).then(
|
|
fn=close_the_flyout,
|
|
outputs=[flyout_visible, active_anchor_id, js_data_bridge],
|
|
).then(
|
|
fn=None, inputs=[js_data_bridge], js=js_update_flyout
|
|
)
|
|
|
|
sampler_ear_btn.click(
|
|
fn=lambda is_vis, anchor, sel: handle_flyout_toggle(
|
|
is_vis, anchor, sampler_dd.elem_id, sampler_settings_map_py.get(sel)
|
|
),
|
|
inputs=[flyout_visible, active_anchor_id, sampler_dd],
|
|
outputs=[
|
|
flyout_visible,
|
|
active_anchor_id,
|
|
flyout_sheet,
|
|
js_data_bridge,
|
|
],
|
|
).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)
|
|
|
|
model_dd.change(
|
|
fn=lambda sel: update_ear_visibility(sel, model_settings_map_py),
|
|
inputs=[model_dd],
|
|
outputs=[model_ear_btn],
|
|
).then(
|
|
fn=close_the_flyout,
|
|
outputs=[flyout_visible, active_anchor_id, js_data_bridge],
|
|
).then(
|
|
fn=None, inputs=[js_data_bridge], js=js_update_flyout
|
|
)
|
|
|
|
model_ear_btn.click(
|
|
fn=lambda is_vis, anchor, sel: handle_flyout_toggle(
|
|
is_vis, anchor, model_dd.elem_id, model_settings_map_py.get(sel)
|
|
),
|
|
inputs=[flyout_visible, active_anchor_id, model_dd],
|
|
outputs=[
|
|
flyout_visible,
|
|
active_anchor_id,
|
|
flyout_sheet,
|
|
js_data_bridge,
|
|
],
|
|
).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)
|
|
|
|
flyout_sheet.change(
|
|
fn=on_flyout_change,
|
|
inputs=[flyout_sheet, active_anchor_id, sampler_dd, model_dd],
|
|
outputs=None,
|
|
)
|
|
|
|
close_btn.click(
|
|
fn=close_the_flyout,
|
|
inputs=None,
|
|
outputs=[flyout_visible, active_anchor_id, js_data_bridge],
|
|
).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)
|
|
|
|
def initial_flyout_setup(sampler_val, model_val):
|
|
return {
|
|
sampler_ear_btn: update_ear_visibility(
|
|
sampler_val, sampler_settings_map_py
|
|
),
|
|
model_ear_btn: update_ear_visibility(
|
|
model_val, model_settings_map_py
|
|
),
|
|
}
|
|
|
|
# --- App Load ---
|
|
demo.load(fn=inject_assets, inputs=None, outputs=[html_injector]).then(
|
|
fn=initial_flyout_setup,
|
|
inputs=[sampler_dd, model_dd],
|
|
outputs=[sampler_ear_btn, model_ear_btn],
|
|
).then(
|
|
fn=None,
|
|
inputs=None,
|
|
outputs=None,
|
|
js="() => { setTimeout(reparent_flyout, 200); }",
|
|
)
|
|
|
|
if __name__ == "__main__":
|
|
demo.launch()
|
|
|
|
```
|
|
|
|
## `PropertySheet`
|
|
|
|
### Initialization
|
|
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th align="left">name</th>
|
|
<th align="left" style="width: 25%;">type</th>
|
|
<th align="left">default</th>
|
|
<th align="left">description</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td align="left"><code>value</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
typing.Optional[typing.Any][Any, None]
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The initial dataclass instance to render.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>label</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
str | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The main label for the component, displayed in the accordion header.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>root_label</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
str
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>"General"</code></td>
|
|
<td align="left">The label for the root group of properties.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>show_group_name_only_one</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>True</code></td>
|
|
<td align="left">If True, only the group name is shown when there is a single group.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>root_properties_first</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>True</code></td>
|
|
<td align="left">If True (default), root-level properties are rendered before nested groups. If False, they are rendered after.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>disable_accordion</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>False</code></td>
|
|
<td align="left">If True, disables the accordion functionality.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>visible</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>True</code></td>
|
|
<td align="left">If False, the component will be hidden.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>open</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>True</code></td>
|
|
<td align="left">If False, the accordion will be collapsed by default.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>elem_id</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
str | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">An optional string that is assigned as the id of this component in the DOM.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>scale</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
int | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The relative size of the component in its container.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>width</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
int | str | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The width of the component in pixels.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>height</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
int | str | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The maximum height of the component's content area in pixels before scrolling.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>min_width</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
int | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">The minimum width of the component in pixels.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>container</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
bool
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>True</code></td>
|
|
<td align="left">If True, wraps the component in a container with a background.</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td align="left"><code>elem_classes</code></td>
|
|
<td align="left" style="width: 25%;">
|
|
|
|
```python
|
|
list[str] | str | None
|
|
```
|
|
|
|
</td>
|
|
<td align="left"><code>None</code></td>
|
|
<td align="left">An optional list of strings that are assigned as the classes of this component in the DOM.</td>
|
|
</tr>
|
|
</tbody></table>
|
|
|
|
|
|
### Events
|
|
|
|
| name | description |
|
|
|:-----|:------------|
|
|
| `change` | Triggered when the value of the PropertySheet 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 PropertySheet. |
|
|
| `expand` | This listener is triggered when the PropertySheet is expanded. |
|
|
| `collapse` | This listener is triggered when the PropertySheet is collapsed. |
|
|
| `undo` | This listener is triggered when the user clicks the undo button in component. |
|
|
|
|
|
|
|
|
### 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 output:** Is passed, a new, updated instance of the dataclass.
|
|
- **As input:** Should return, the dataclass instance to process.
|
|
|
|
```python
|
|
def predict(
|
|
value: Any
|
|
) -> Any:
|
|
return value
|
|
```
|
|
|
|
|