import gradio as gr import requests import geopandas as gpd from shapely.geometry import Point def process_input(address, selected_option, additional_input): transport_analysis_needed = selected_option in [ "Residential", "Office", "Community Facility", ] output_address = f"You entered the address:\n{address}" output_option = f"Selected option:\n{selected_option}" response = requests.get( f"https://geosearch.planninglabs.nyc/v2/autocomplete?text={address}" ) data = response.json() x = data["features"][0]["geometry"]["coordinates"] # Load the GeoJSON file into a GeoDataFrame geodata = gpd.read_file("/content/zone_data.geojson") # Create a Point for the given coordinates location_point = Point(x[0], x[1]) # Find the zone that the location point is in zone = geodata[geodata.geometry.contains(location_point)]["id"].values.item() if selected_option in ["Off-Street Parking Facility", "Residential"]: output_additional = f"Number of Units/Spaces:\n{additional_input}" else: output_additional = f"Area (in 1000 GSF):\n{additional_input}" output_transport_analysis = ( f"Transport Analysis Needed:\n{transport_analysis_needed}" ) # Replace 'Your Zone Calculation Logic' with the actual zone calculation code output_zone = f"Zone:\n{zone}" return ( output_address, output_option, output_additional, output_transport_analysis, output_zone, ) iface = gr.Interface( fn=process_input, inputs=[ gr.inputs.Textbox(label="Enter your address"), gr.inputs.Radio( [ "Residential", "Office", "Regional Retail", "Local Retail", "Sit Down/High Turnover Restaurant", "Fast Food/without Drive Through", "Community Facility", "Off-Street Parking Facility", ], label="Select an option", ), gr.inputs.Number( label="Number of Units/Spaces or Area (in 1000 GSF)", default=1 ), # Default value is 1 ], outputs=[ gr.outputs.Textbox(label="Address"), gr.outputs.Textbox(label="Selected Option"), gr.outputs.Textbox(label="Number of Units/Spaces or Area"), gr.outputs.Textbox(label="Transport Analysis Needed"), gr.outputs.Textbox(label="Zone"), ], ) iface.launch()