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import gradio as gr
from main_operations import ss_intersect
#from datasets import load_dataset
#ds = load_dataset('psalama/NYC_sensitive_sites', data_files=data_files)
iface = gr.Interface(
fn=ss_intersect,
inputs=[
gr.inputs.File(label="Building Footprints GeoJSON"),
gr.Radio(["Parks Properties", "Park Zones"], label="Which Sensitive Sites?", info="From NYC DPR", type="index"),
gr.inputs.Slider(minimum=0.0, maximum=10.0, default=4.3, label="Building Height Multiplier"),
gr.inputs.Number(default=200, label="Default Building Height"), #Can I make this optional?
],
outputs=[
gr.outputs.Image(type="pil", label="Result Image"),
gr.outputs.File(label="Building Buffers"),
gr.outputs.File(label="Union of Building Buffers"),
gr.outputs.Textbox(label="Building intersection descriptions"),
],
examples=[
["files/building4test.geojson", "Parks Properties", 4.3, 200],
["files/building4test.geojson", "Park Zones", 4.3, 900],
],
title="Shadow Sensitive Site Proximity",
description="This tool automatically checks if proposed buildings would cast a shadows on NYC's 'Sensitive Sites'. Upload a GeoJSON file of proposed building footprints to output an image of intersected sensitive sites.",
)
iface.launch() |