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---
tags: [gradio-custom-component, ui, form, settings, dataclass]
title: gradio_propertysheet
short_description: Property Sheet Component for Gradio
colorFrom: blue
colorTo: green
sdk: gradio
pinned: true
app_file: space.py
---
# `gradio_propertysheet`
<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.4%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>
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.
<img src="https://huggingface.co/datasets/DEVAIEXP/assets/resolve/main/gradio_propertysheet.png" alt="PropertySheet Demo">
## Key Features
- **Automatic UI Generation**: Instantly converts `dataclass` fields into a structured UI.
- **Rich Component Support**: Automatically maps Python types to UI controls:
- `str` -> Text Input
- `int`, `float` -> Number Input
- `bool` -> Styled Checkbox
- `typing.Literal` -> Dropdown
- **Metadata-Driven Components**: Force a specific component using metadata:
- `metadata={"component": "slider"}`
- `metadata={"component": "colorpicker"}`
- **Nested Groups**: Nested `dataclasses` are rendered as collapsible groups for organization.
- **Conditional Visibility**: Show or hide fields based on the value of others using `interactive_if` metadata.
- **Built-in Helpers**:
- **Tooltips**: Add `help` text to any property's metadata for an info icon.
- **Reset Button**: Each property gets a button to reset its value to default.
- **Accordion Layout**: The entire component can act as a main collapsible accordion panel using the `open` parameter.
- **Theme-Aware**: Designed to look and feel native in all Gradio themes.
- **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).
## Installation
```bash
pip install gradio_propertysheet
```
## Usage
```python
import os
import json
import gradio as gr
from dataclasses import dataclass, field, asdict
from typing import Literal
from gradio_propertysheet import PropertySheet
from gradio_htmlinjector import HTMLInjector
# --- 1. Dataclass Definitions (unchanged) ---
@dataclass
class ModelSettings:
model_type: Literal["SD 1.5", "SDXL", "Pony", "Custom"] = field(default="SDXL", metadata={"component": "dropdown", "label": "Base Model"})
custom_model_path: str = field(default="/path/to/default.safetensors", metadata={"label": "Custom Model Path", "interactive_if": {"field": "model_type", "value": "Custom"}})
vae_path: str = field(default="", metadata={"label": "VAE Path (optional)"})
@dataclass
class SamplingSettings:
sampler_name: Literal["Euler", "Euler a", "DPM++ 2M Karras", "UniPC"] = field(default="DPM++ 2M Karras", metadata={"component": "dropdown", "label": "Sampler"})
steps: int = field(default=25, metadata={"component": "slider", "minimum": 1, "maximum": 150, "step": 1})
cfg_scale: float = field(default=7.0, metadata={"component": "slider", "minimum": 1.0, "maximum": 30.0, "step": 0.5})
@dataclass
class RenderConfig:
seed: int = field(default=-1, metadata={"component": "number_integer", "label": "Seed (-1 for random)"})
model: ModelSettings = field(default_factory=ModelSettings)
sampling: SamplingSettings = field(default_factory=SamplingSettings)
@dataclass
class Lighting:
sun_intensity: float = field(default=1.0, metadata={"component": "slider", "minimum": 0, "maximum": 5, "step": 0.1})
color: str = field(default="#FFDDBB", metadata={"component": "colorpicker", "label": "Sun Color"})
@dataclass
class EnvironmentConfig:
background: Literal["Sky", "Color", "Image"] = field(default="Sky", metadata={"component": "dropdown"})
lighting: Lighting = field(default_factory=Lighting)
@dataclass
class EulerSettings:
s_churn: float = field(default=0.0, metadata={"component": "slider", "minimum": 0.0, "maximum": 1.0, "step": 0.01})
@dataclass
class DPM_Settings:
karras_style: bool = field(default=True, metadata={"label": "Use Karras Sigma Schedule"})
# --- 2. Data Mappings and Initial Instances (unchanged) ---
initial_render_config = RenderConfig()
initial_env_config = EnvironmentConfig()
sampler_settings_map_py = {"Euler": EulerSettings(), "DPM++ 2M Karras": DPM_Settings(), "UniPC": None}
model_settings_map_py = {"SDXL 1.0": DPM_Settings(), "Stable Diffusion 1.5": EulerSettings(), "Pony": None}
# --- 3. CSS & JS Injection function (unchanged) ---
def inject_assets():
"""
This function prepares the payload of CSS, JS, and Body HTML for injection.
"""
popup_html = """<div id="injected_flyout_container" class="flyout-sheet" style="display: none;"></div>"""
css_code = ""
js_code = ""
try:
with open("custom.css", "r", encoding="utf-8") as f:
css_code += f.read() + "\n"
with open("custom.js", "r", encoding="utf-8") as f:
js_code += f.read() + "\n"
except FileNotFoundError as e:
print(f"Warning: Could not read asset file: {e}")
return {"js": js_code, "css": css_code, "body_html": popup_html}
# --- 4. Gradio App Build ---
with gr.Blocks(title="PropertySheet Demos") as demo:
html_injector = HTMLInjector()
gr.Markdown("# PropertySheet Component Demos")
with gr.Row():
# --- Flyout popup ---
with gr.Column(elem_id="flyout_panel_source", elem_classes=["flyout-source-hidden"]) as flyout_panel_source:
close_btn = gr.Button("×", elem_classes=["flyout-close-btn"])
flyout_sheet = PropertySheet(visible=True, container=False, label="Settings", show_group_name_only_one=False, disable_accordion=True)
with gr.Tabs():
with gr.TabItem("Original Sidebar Demo"):
gr.Markdown("An example of using the `PropertySheet` component as a traditional sidebar for settings.")
render_state = gr.State(value=initial_render_config)
env_state = gr.State(value=initial_env_config)
sidebar_visible = gr.State(False)
with gr.Row():
with gr.Column(scale=3):
generate = gr.Button("Show Settings", variant="primary")
with gr.Row():
output_render_json = gr.JSON(label="Live Render State")
output_env_json = gr.JSON(label="Live Environment State")
with gr.Column(scale=1):
render_sheet = PropertySheet(value=initial_render_config, label="Render Settings", width=400, height=550, visible=False, root_label="Generator")
environment_sheet = PropertySheet(value=initial_env_config, label="Environment Settings", width=400, open=False, visible=False, root_label="General")
def change_visibility(is_visible, render_cfg, env_cfg):
new_visibility = not is_visible
button_text = "Hide Settings" if new_visibility else "Show Settings"
return (new_visibility, gr.update(visible=new_visibility, value=render_cfg), gr.update(visible=new_visibility, value=env_cfg), gr.update(value=button_text))
def handle_render_change(updated_config: RenderConfig, current_state: RenderConfig):
if updated_config is None: return current_state, asdict(current_state), current_state
if updated_config.model.model_type != "Custom": updated_config.model.custom_model_path = "/path/to/default.safetensors"
return updated_config, asdict(updated_config), updated_config
def handle_env_change(updated_config: EnvironmentConfig, current_state: EnvironmentConfig):
if updated_config is None: return current_state, asdict(current_state), current_state
return updated_config, asdict(updated_config), current_state
generate.click(fn=change_visibility, inputs=[sidebar_visible, render_state, env_state], outputs=[sidebar_visible, render_sheet, environment_sheet, generate])
render_sheet.change(fn=handle_render_change, inputs=[render_sheet, render_state], outputs=[render_sheet, output_render_json, render_state])
environment_sheet.change(fn=handle_env_change, inputs=[environment_sheet, env_state], outputs=[environment_sheet, output_env_json, env_state])
demo.load(fn=lambda r_cfg, e_cfg: (asdict(r_cfg), asdict(e_cfg)), inputs=[render_state, env_state], outputs=[output_render_json, output_env_json])
with gr.TabItem("Flyout Popup Demo"):
gr.Markdown("An example of attaching a `PropertySheet` as a flyout panel to other components.")
# --- State Management ---
flyout_visible = gr.State(False)
active_anchor_id = gr.State(None)
js_data_bridge = gr.Textbox(visible=False, elem_id="js_data_bridge")
with gr.Column(elem_classes=["flyout-context-area"]):
with gr.Row(elem_classes=["fake-input-container", "no-border-dropdown"]):
sampler_dd = gr.Dropdown(choices=list(sampler_settings_map_py.keys()), label="Sampler", value="Euler", elem_id="sampler_dd", scale=10)
sampler_ear_btn = gr.Button("⚙️", elem_id="sampler_ear_btn", scale=1, elem_classes=["integrated-ear-btn"])
with gr.Row(elem_classes=["fake-input-container", "no-border-dropdown"]):
model_dd = gr.Dropdown(choices=list(model_settings_map_py.keys()), label="Model", value="SDXL 1.0", elem_id="model_dd", scale=10)
model_ear_btn = gr.Button("⚙️", elem_id="model_ear_btn", scale=1, elem_classes=["integrated-ear-btn"])
# --- 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>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` | |
| `input` | |
| `expand` | |
| `collapse` | |
### 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
```
|