app.py

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 Proximity",
    description="Upload proposed building footprints in a GeoJSON file and select a numeric value to get the building proximity prediction.",
)

iface.launch()