Metadata-Version: 2.4
Name: gradio_taggrouphelper
Version: 0.0.3
Summary: A fast text generator based on tagged words
Author-email: Eliseu Silva <elismasilva@gmail.com>
License-Expression: Apache-2.0
Keywords: gradio-custom-component,gradio-template-Fallback
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.10
Requires-Dist: gradio<6.0,>=4.0
Provides-Extra: dev
Requires-Dist: build; extra == 'dev'
Requires-Dist: twine; extra == 'dev'
Description-Content-Type: text/markdown

---
tags: [gradio-custom-component, ]
title: gradio_taggrouphelper
short_description: A fast prompt generator based on tagged words
colorFrom: blue
colorTo: yellow
sdk: gradio
pinned: false
app_file: space.py
---

# `gradio_taggrouphelper`
<a href="https://pypi.org/project/gradio_taggrouphelper/" target="_blank"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/gradio_taggrouphelper"></a>  

A fast text generator based on tagged words

## Installation

```bash
pip install gradio_taggrouphelper
```

## Usage

```python
#
# demo/app.py
#
import gradio as gr
from gradio_taggrouphelper import TagGroupHelper 

# Example data structure for the tags and groups
TAG_DATA = {
    "Quality": [
        "best quality", "masterpiece", "high resolution", "4k", "8k", 
        "sharp focus", "detailed", "photorealistic"
    ],
    "Lighting": [
        "cinematic lighting", "volumetric lighting", "god rays", 
        "golden hour", "studio lighting", "dramatic lighting"
    ],
    "Style": [
        "anime style", "oil painting", "concept art", "fantasy", 
        "steampunk", "vaporwave", "line art"
    ],
    "Negative Prompts": [
        "blurry", "noisy", "low resolution", "low quality", "watermark",
        "text", "bad anatomy", "extra limbs", "disfigured"
    ]
}

css=""" 
body {    
    font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;    
    margin: 0;
    padding: 0;
}
.gradio-container {    
    border-radius: 15px;
    padding: 30px 40px;
    box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3);
    margin: 40px 340px;    
}
.gradio-container h1 {    
    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.2);
}
.fillable {
    width: 100% !important;
    max-width: unset !important;
}
#examples_container {
    margin: auto;
    width: 90%;
}
#examples_row {
    justify-content: center;
}
#tips_row{    
    padding-left: 20px;
}
.sidebar {    
    border-radius: 10px;
    padding: 10px;
    box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
}
.sidebar .toggle-button {    
    background: linear-gradient(90deg, #34d399, #10b981) !important;
    border: none;    
    padding: 12px 18px;
    text-transform: uppercase;
    font-weight: bold;
    letter-spacing: 1px;
    border-radius: 5px;
    cursor: pointer;
    transition: transform 0.2s ease-in-out;
}
.toggle-button:hover {
    transform: scale(1.05);
}
.sidebar .sidebar-content {
    padding-left: 10px !important;
}
.sidebar .sidebar-content .column .block div .prose {
    text-align: center;
}
"""
with gr.Blocks(theme=gr.themes.Ocean(), css=css) as demo:
    gr.Markdown("# Tag Group Helper Demo")
    gr.Markdown("Click on the tags below to add them to the prompt textboxes.")
    gr.Markdown("<span>💻 <a href='https://github.com/DEVAIEXP/gradio_component_taggrouphelper'>GitHub Code</a></span>")
    with gr.Row():
        with gr.Column(scale=2): # Give more space to the textboxes
            # Create the target Textbox and give it a unique `elem_id`.
            positive_prompt_box = gr.Textbox(
                label="Positive Prompt",
                placeholder="Click tags from 'Prompt Keywords' to add them here...",
                lines=5,
                elem_id="positive-prompt-textbox" # This ID must be unique
            )
            negative_prompt_box = gr.Textbox(
                label="Negative Prompt",
                placeholder="Click tags from 'Negative Keywords' to add them here...",
                lines=5,
                elem_id="negative-prompt-textbox" # This ID must be unique
            )
        with gr.Sidebar(position="right"):           
            # Create an instance of the TagGroupHelper for the Positive Prompt box.
            TagGroupHelper(
                label="Positive Prompt Keywords",
                value={k: v for k, v in TAG_DATA.items() if "Negative" not in k},
                target_textbox_id="positive-prompt-textbox",
                separator=", ",
                interactive=True,
                width=250,
                font_size_scale=90
                
            )
            
            # Create another instance for the Negative Prompt box.
            TagGroupHelper(
                label="Negative Prompt Keywords",
                value={"Negative Prompts": TAG_DATA["Negative Prompts"]},
                target_textbox_id="negative-prompt-textbox",
                separator=", ",
                interactive=True,
                width=250,                
                font_size_scale=90
            )

if __name__ == '__main__':
    demo.launch()
```

## `TagGroupHelper`

### 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.Dict[str, typing.List[str]]][
    typing.Dict[str, typing.List[str]][
        str, typing.List[str][str]
    ],
    None,
]
```

</td>
<td align="left"><code>None</code></td>
<td align="left">A dictionary where keys are group names and values are lists of tags.</td>
</tr>

<tr>
<td align="left"><code>height</code></td>
<td align="left" style="width: 25%;">

```python
int | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">The height of the component container in pixels.</td>
</tr>

<tr>
<td align="left"><code>width</code></td>
<td align="left" style="width: 25%;">

```python
int | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">The width of the component container in pixels.</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 label for this component, displayed above the groups.</td>
</tr>

<tr>
<td align="left"><code>font_size_scale</code></td>
<td align="left" style="width: 25%;">

```python
int
```

</td>
<td align="left"><code>100</code></td>
<td align="left">A percentage to scale the font size of group headers and tags. Defaults to 100.</td>
</tr>

<tr>
<td align="left"><code>every</code></td>
<td align="left" style="width: 25%;">

```python
float | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">If `value` is a callable, run the function 'every' seconds while the client connection is open.</td>
</tr>

<tr>
<td align="left"><code>show_label</code></td>
<td align="left" style="width: 25%;">

```python
bool | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">If False, the label is not displayed.</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 False, the component will not be wrapped in a container.</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 compared to others in a `gr.Row` or `gr.Column`.</td>
</tr>

<tr>
<td align="left"><code>min_width</code></td>
<td align="left" style="width: 25%;">

```python
int
```

</td>
<td align="left"><code>160</code></td>
<td align="left">The minimum width of the component in pixels.</td>
</tr>

<tr>
<td align="left"><code>interactive</code></td>
<td align="left" style="width: 25%;">

```python
bool | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">if True, will be rendered as an selectable component; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.</td>
</tr>

<tr>
<td align="left"><code>target_textbox_id</code></td>
<td align="left" style="width: 25%;">

```python
str | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">The `elem_id` of the `gr.Textbox` component to target. Required.</td>
</tr>

<tr>
<td align="left"><code>separator</code></td>
<td align="left" style="width: 25%;">

```python
str
```

</td>
<td align="left"><code>", "</code></td>
<td align="left">The string to use as a separator between tags. Defaults to ", ". Can be set to " " for space separation.</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>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 HTML DOM.</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 to assign as CSS classes to the component.</td>
</tr>
</tbody></table>




### 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.



 ```python
 def predict(
     value: Any
 ) -> typing.Optional[typing.Dict[str, typing.List[str]]][
    typing.Dict[str, typing.List[str]][
        str, typing.List[str][str]
    ],
    None,
]:
     return value
 ```
 
