Metadata-Version: 2.4
Name: gradio_tiff
Version: 0.1.2
Summary: Custom Gradio component for multi-page TIFF images
Project-URL: repository, https://github.com/NiklasvonM/Gradio-TIFF/
Project-URL: space, https://huggingface.co/spaces/NiklasvonM/Gradio-TIFF
Author-email: Niklas von Moers <niklasvmoers@protonmail.com>
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: gradio-custom-component,gradio-template-ImageSlider
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 :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.10
Requires-Dist: gradio<7.0,>=6.0
Provides-Extra: dev
Requires-Dist: build; extra == 'dev'
Requires-Dist: twine; extra == 'dev'
Description-Content-Type: text/markdown

---
tags: [gradio-custom-component, ImageSlider]
title: gradio_tiff
short_description: Multi-page Tiff support
colorFrom: blue
colorTo: yellow
sdk: gradio
pinned: false
app_file: space.py
---

# `gradio_tiff`
<a href="https://pypi.org/project/gradio_tiff/" target="_blank"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/gradio_tiff"></a> <a href="https://github.com/NiklasvonM/Gradio-TIFF//issues" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/Issues-white?logo=github&logoColor=black"></a> <a href="https://huggingface.co/spaces/NiklasvonM/Gradio-TIFF/discussions" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/%F0%9F%A4%97%20Discuss-%23097EFF?style=flat&logoColor=black"></a>

Custom Gradio component for multi-page TIFF images

## Installation

```bash
pip install gradio_tiff
```

## Usage

```python
import gradio as gr
from gradio_tiff import Tiff

demo = gr.Interface(
    lambda x: x,
    inputs=Tiff(value=Tiff().example_value()),
    outputs=Tiff(),
)


if __name__ == "__main__":
    demo.launch()

```

## `Tiff`

### 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
str | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">A path or URL to the TIFF image.</td>
</tr>

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

```python
str | I18nData | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">the label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.</td>
</tr>

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

```python
Timer | float | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.</td>
</tr>

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

```python
Component | Sequence[Component] | set[Component] | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.</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 True, will display label.</td>
</tr>

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

```python
bool
```

</td>
<td align="left"><code>True</code></td>
<td align="left">If True, shows a button to download the original TIFF file.</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, will place the component in a container - providing some extra padding around the border.</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">relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.</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 allow users to upload and edit an image; if False, can only be used to display images. 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>visible</code></td>
<td align="left" style="width: 25%;">

```python
bool | Literal["hidden"]
```

</td>
<td align="left"><code>True</code></td>
<td align="left">If False, component will be hidden. If "hidden", component will be visually hidden and not take up space in the layout but still exist in the DOM</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. Can be used for targeting CSS styles.</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 HTML DOM. Can be used for targeting CSS styles.</td>
</tr>

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

```python
bool
```

</td>
<td align="left"><code>True</code></td>
<td align="left">If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.</td>
</tr>

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

```python
int | str | tuple[int | str, ...] | None
```

</td>
<td align="left"><code>None</code></td>
<td align="left">in a gr.render, Components with the same key across re-renders are treated as the same component, not a new component. Properties set in 'preserved_by_key' are not reset across a re-render.</td>
</tr>

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

```python
list[str] | str | None
```

</td>
<td align="left"><code>"value"</code></td>
<td align="left">A list of parameters from this component's constructor. Inside a gr.render() function, if a component is re-rendered with the same key, these (and only these) parameters will be preserved in the UI (if they have been changed by the user or an event listener) instead of re-rendered based on the values provided during constructor.</td>
</tr>
</tbody></table>


### Events

| name | description |
|:-----|:------------|
| `clear` | This listener is triggered when the user clears the Tiff using the clear button for the component. |
| `change` | Triggered when the value of the Tiff 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. |
| `upload` | This listener is triggered when the user uploads a file into the Tiff. |



### 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: str | None
 ) -> str | None:
     return value
 ```
 
