import gradio as gr from _app import demo as app import os _docs = {'Folium': {'description': 'A base class for defining methods that all input/output components should have.', 'members': {'__init__': {'value': {'type': 'Any', 'default': 'None', 'description': None}, 'height': {'type': 'int | None', 'default': 'None', 'description': None}, 'label': {'type': 'str | None', 'default': 'None', 'description': None}, 'container': {'type': 'bool', 'default': 'True', 'description': None}, 'scale': {'type': 'int | None', 'default': 'None', 'description': None}, 'min_width': {'type': 'int | None', 'default': 'None', 'description': None}, 'visible': {'type': 'bool', 'default': 'True', 'description': None}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': None}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': None}, 'render': {'type': 'bool', 'default': 'True', 'description': None}, 'load_fn': {'type': 'Callable[Ellipsis, Any] | None', 'default': 'None', 'description': None}, 'every': {'type': 'float | None', 'default': 'None', 'description': None}}, 'postprocess': {'x': {'type': 'folium.folium.Map', 'description': None}, 'value': {'type': 'folium.folium.Map', 'description': None}}, 'preprocess': {}}, 'events': {}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'Folium': []}}} abs_path = os.path.join(os.path.dirname(__file__), "css.css") with gr.Blocks( css=abs_path, theme=gr.themes.Default( font_mono=[ gr.themes.GoogleFont("Inconsolata"), "monospace", ], ), ) as demo: gr.Markdown( """ # `gradio_folium`
PyPI - Version
Display Interactive Maps Created with Folium """, elem_classes=["md-custom"], header_links=True) app.render() gr.Markdown( """ ## 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() ``` """, elem_classes=["md-custom"], header_links=True) gr.Markdown(""" ## `Folium` ### Initialization """, elem_classes=["md-custom"], header_links=True) gr.ParamViewer(value=_docs["Folium"]["members"]["__init__"], linkify=[]) gr.Markdown(""" ### 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 ``` """, elem_classes=["md-custom", "Folium-user-fn"], header_links=True) demo.load(None, js=r"""function() { const refs = {}; const user_fn_refs = { Folium: [], }; requestAnimationFrame(() => { Object.entries(user_fn_refs).forEach(([key, refs]) => { if (refs.length > 0) { const el = document.querySelector(`.${key}-user-fn`); if (!el) return; refs.forEach(ref => { el.innerHTML = el.innerHTML.replace( new RegExp("\\b"+ref+"\\b", "g"), `${ref}` ); }) } }) Object.entries(refs).forEach(([key, refs]) => { if (refs.length > 0) { const el = document.querySelector(`.${key}`); if (!el) return; refs.forEach(ref => { el.innerHTML = el.innerHTML.replace( new RegExp("\\b"+ref+"\\b", "g"), `${ref}` ); }) } }) }) } """) demo.launch()