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import gradio as gr
from folium.plugins import HeatMap
from ingest import load_data
from process import get_lat_lon
from gradio_folium import Folium
from folium import Map
def update_header(file_info):
if file_info is not None:
filename = file_info.split('/')[-1] # Access the filename from the file_info dictionary
header = f"<h1>Nordic Balance Postcodes Map: {filename}</h1>" # Update the Markdown content
return header # Continue to pass the file_info to the next function if necessary
def generate_map(file_path):
# Load the postcodes
postcode_mapping = load_data('../data/ukpostcodes.csv')
# Load the data (this needs to be adapted to work outside Flask)
postcodes = load_data(file_path)
# Get latitude, longitude, and count data for the specified postcodes
lat_lon_data = get_lat_lon(postcodes, postcode_mapping)
# Prepare data for different frequency bands
low_freq_data = [
[data['latitude'], data['longitude']]
for data in lat_lon_data
if data['count'] == 1 and data['latitude'] and data['longitude']
]
med_freq_data = [
[data['latitude'], data['longitude']]
for data in lat_lon_data
if 2 <= data['count'] <= 5 and data['latitude'] and data['longitude']
]
high_freq_data = [
[data['latitude'], data['longitude']]
for data in lat_lon_data
if data['count'] > 5 and data['latitude'] and data['longitude']
]
# Create your map here using Folium
map = Map(location=[51.505303, -0.13902], zoom_start=10)
# Adding different heatmaps for different frequencies
if low_freq_data:
HeatMap(low_freq_data, radius=10, blur=10, gradient={0.8: 'blue', 1: 'lime'}).add_to(map)
if med_freq_data:
HeatMap(med_freq_data, radius=15, blur=10, gradient={0.8: 'orange', 1: 'lime'}).add_to(map)
if high_freq_data:
HeatMap(high_freq_data, radius=20, blur=10, gradient={0.8: 'red', 1: 'lime'}).add_to(map)
return map
# Define a Gradio interface
with gr.Blocks() as demo:
with gr.Row():
header = gr.Markdown(("<h1>Nordic Balance Postcodes Map</h1>"))
with gr.Row():
map = Folium(value = Map(location=[51.505303, -0.13902], zoom_start=10), height=750)
with gr.Row():
file_uploader = gr.UploadButton(
label=("Upload"),
file_count="single",
file_types=[".csv", ".xlsx", '.xls'],
interactive=True,
scale=1,
)
file_uploader.upload(fn = generate_map,
inputs= file_uploader,
outputs=map)
file_uploader.upload(fn=update_header,
inputs=file_uploader,
outputs=header)
if __name__ == "__main__":
demo.launch() |