Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
import folium
|
| 3 |
+
import h3
|
| 4 |
+
import pandas as pd
|
| 5 |
+
import numpy as np
|
| 6 |
+
from branca.colormap import LinearColormap
|
| 7 |
+
|
| 8 |
+
# Simulate data
|
| 9 |
+
def generate_sample_data():
|
| 10 |
+
sf_center = (37.7749, -122.4194)
|
| 11 |
+
hexagons = h3.k_ring(h3.geo_to_h3(sf_center[0], sf_center[1], 9), 10)
|
| 12 |
+
|
| 13 |
+
time_slots = [
|
| 14 |
+
"Early Morning", "Mid-Morning", "Mid-Day", "Mid-Afternoon",
|
| 15 |
+
"Evening", "Night", "Late-Night", "Witching Hour"
|
| 16 |
+
]
|
| 17 |
+
|
| 18 |
+
data = []
|
| 19 |
+
for hex_id in hexagons:
|
| 20 |
+
for slot in time_slots:
|
| 21 |
+
visits = np.random.poisson(100) # Random number of visits
|
| 22 |
+
data.append({"hex_id": hex_id, "time_slot": slot, "visits": visits})
|
| 23 |
+
|
| 24 |
+
df = pd.DataFrame(data)
|
| 25 |
+
|
| 26 |
+
# Calculate Rush Index
|
| 27 |
+
avg_visits = df["visits"].mean()
|
| 28 |
+
df["rush_index"] = df["visits"] / avg_visits
|
| 29 |
+
|
| 30 |
+
return df
|
| 31 |
+
|
| 32 |
+
# Create map
|
| 33 |
+
def create_map(df, selected_time_slot):
|
| 34 |
+
m = folium.Map(location=[37.7749, -122.4194], zoom_start=12)
|
| 35 |
+
|
| 36 |
+
filtered_df = df[df["time_slot"] == selected_time_slot]
|
| 37 |
+
|
| 38 |
+
colormap = LinearColormap(colors=['green', 'yellow', 'red'], vmin=0, vmax=2)
|
| 39 |
+
|
| 40 |
+
for _, row in filtered_df.iterrows():
|
| 41 |
+
hex_boundary = h3.h3_to_geo_boundary(row["hex_id"])
|
| 42 |
+
color = colormap(row["rush_index"])
|
| 43 |
+
folium.Polygon(
|
| 44 |
+
locations=hex_boundary,
|
| 45 |
+
color=color,
|
| 46 |
+
fill=True,
|
| 47 |
+
fillColor=color,
|
| 48 |
+
fillOpacity=0.7,
|
| 49 |
+
tooltip=f"Rush Index: {row['rush_index']:.2f}"
|
| 50 |
+
).add_to(m)
|
| 51 |
+
|
| 52 |
+
return m
|
| 53 |
+
|
| 54 |
+
# Gradio interface
|
| 55 |
+
def update_map(time_slot):
|
| 56 |
+
map_html = create_map(df, time_slot)._repr_html_()
|
| 57 |
+
return map_html
|
| 58 |
+
|
| 59 |
+
df = generate_sample_data()
|
| 60 |
+
|
| 61 |
+
time_slots = [
|
| 62 |
+
"Early Morning (5am - 8am)", "Mid-Morning (8am - 11am)", "Mid-Day (11am - 1pm)",
|
| 63 |
+
"Mid-Afternoon (1pm - 4pm)", "Evening (4pm - 7pm)", "Night (7pm - 10pm)",
|
| 64 |
+
"Late-Night (10pm - 1am)", "Witching Hour (1am - 4am)"
|
| 65 |
+
]
|
| 66 |
+
|
| 67 |
+
iface = gr.Interface(
|
| 68 |
+
fn=update_map,
|
| 69 |
+
inputs=gr.Dropdown(choices=time_slots, label="Peak Hours"),
|
| 70 |
+
outputs=gr.HTML(),
|
| 71 |
+
title="RushRadar",
|
| 72 |
+
description="Visualize rush hours in San Francisco using H3 hexagons",
|
| 73 |
+
live=True
|
| 74 |
+
)
|
| 75 |
+
|
| 76 |
+
iface.launch()
|