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# `gradio_folium`
<a href="https://pypi.org/project/gradio_folium/" target="_blank"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/gradio_folium"></a>
Display Interactive Maps Created with Folium
## Installation
```bash
pip install gradio_folium
```
## Usage
```python
import gradio as gr
from gradio_folium import Folium
from folium import Map
import pandas as pd
import pathlib
df = pd.read_csv(pathlib.Path(__file__).parent / "cities.csv")
def select(df, data: gr.SelectData):
row = df.iloc[data.index[0], :]
return Map(location=[row['Latitude'], row['Longitude']])
with gr.Blocks() as demo:
gr.Markdown(("# 🗺️ Explore World Capitals with Gradio and Folium\n"
"Install this custom component with `pip install gradio_folium`"))
map = Folium(value=Map(location=[25.7617, -80.1918]), height=400)
data = gr.DataFrame(value=df, height=200)
data.select(select, data, map)
if __name__ == "__main__":
demo.launch()
```
## `Folium`
### 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
Any
```
</td>
<td align="left"><code>None</code></td>
<td align="left">None</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">None</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">None</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">None</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">None</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">None</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">None</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">None</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">None</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">None</td>
</tr>
<tr>
<td align="left"><code>load_fn</code></td>
<td align="left" style="width: 25%;">
```python
Callable[Ellipsis, Any] | None
```
</td>
<td align="left"><code>None</code></td>
<td align="left">None</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">None</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: Unknown
) -> folium.folium.Map:
return value
```
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