import gradio as gr from whereabouts.utils import download from whereabouts.Matcher import Matcher # download the various address databases download('au_all_sm', 'saunteringcat/whereabouts-db') download('au_all_lg', 'saunteringcat/whereabouts-db') download('au_vic_lg', 'saunteringcat/whereabouts-db') download('au_nsw_lg', 'saunteringcat/whereabouts-db') # create a matcher object matcher1 = Matcher('au_all_sm') matcher2 = Matcher('au_all_lg') matcher3 = Matcher('au_vic_lg') matcher4 = Matcher('au_all_sm') # function to geocode results def geocode(addresses): address_list = addresses.split('\n') return matcher1.geocode(address_list) # the gradio interface with gr.Blocks(theme=gr.themes.Soft()) as demo: gr.Markdown("# whereabouts") gr.HTML("""
""") gr.Markdown("Fast, accurate open source geocoding in Python") gr.Markdown(""" [whereabouts](https://www.github.com/ajl2718/whereabouts) is an open source package for Python for fast and accurate geocoding within your own environment. It currently supports geocoding for Australia but with more countries coming soon. It uses duckDB to geocode up to 1000s of addresses per second based on an algorithm from [this paper](https://arxiv.org/abs/1708.01402)""") gr.Markdown(""" ``` pip install whereabouts python -m whereabouts download au_all_sm ``` This demo shows whereabouts in action, using the small version of the Australian database. This is faster at the expense of accuracy. Running in your own environment speeds things up too. """) with gr.Row(): with gr.Column(): text_input = gr.Textbox(lines=2, label="Addresses to geocode (one row per address)") geocode_button = gr.Button(variant='primary') json_output = gr.JSON(label="Output JSON data") geocode_button.click(fn=geocode, inputs=text_input, outputs=json_output, api_name="whereabouts_geocoder") demo.launch()