Create app.py

app.py

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+import osmnx as ox
+import matplotlib.pyplot as plt
+import geopandas as gpd
+import pandas as pd
+import random
+import io
+from PIL import Image
+import streamlit as st
+
+def adjust_color_hex(hex_color, variation=20):
+    """
+    元の16進数カラーコードに対してランダムな変化を加えた新しいカラーコードを生成します。
+    Parameters:
+    - hex_color (str): 元の16進数カラーコード（例：'#A3BE8C'）
+    - variation (int): 各RGB成分に加える変化の最大値（0-255）
+    Returns:
+    - str: 新しい16進数カラーコード
+    """
+    hex_color = hex_color.lstrip('#')
+    r = int(hex_color[0:2], 16)
+    g = int(hex_color[2:4], 16)
+    b = int(hex_color[4:6], 16)
+
+    r = min(255, max(0, r + random.randint(-variation, variation)))
+    g = min(255, max(0, g + random.randint(-variation, variation)))
+    b = min(255, max(0, b + random.randint(-variation, variation)))
+
+    new_hex_color = '#{:02X}{:02X}{:02X}'.format(r, g, b)
+    return new_hex_color
+
+def create_artistic_map(lat, lon, distance):
+    """
+    指定した緯度経度と距離に基づいて、色鮮やかなアート風の地図画像を作成します。
+    Parameters:
+    - lat (float): 中心の緯度
+    - lon (float): 中心の経度
+    - distance (float): 地図の範囲（メートル単位）
+    Returns:
+    - PIL.Image.Image: 生成された地図画像
+    """
+    point = (lat, lon)
+
+    G = ox.graph_from_point(point, dist=distance, network_type='all')
+    nodes, edges = ox.graph_to_gdfs(G)
+    buildings = ox.features_from_point(point, tags={'building': True}, dist=distance)
+    water = ox.features_from_point(point, tags={'natural': 'water'}, dist=distance)
+
+    greenery_list = []
+    greenery_tags = [
+        {'leisure': 'park'},
+        {'landuse': 'grass'},
+        {'landuse': 'forest'},
+        {'natural': 'wood'}
+    ]
+    for tags in greenery_tags:
+        greenery_part = ox.features_from_point(point, tags=tags, dist=distance)
+        if not greenery_part.empty:
+            greenery_list.append(greenery_part)
+
+    if greenery_list:
+        greenery = pd.concat(greenery_list)
+    else:
+        greenery = gpd.GeoDataFrame()
+
+    fig, ax = plt.subplots(figsize=(20, 20))
+    bg_color = adjust_color_hex('#2E3440', variation=10)
+    fig.patch.set_facecolor(bg_color)
+    ax.set_facecolor(bg_color)
+
+    if not greenery.empty:
+        greenery_color = adjust_color_hex('#A3BE8C')
+        greenery.plot(ax=ax, facecolor=greenery_color, edgecolor='none')
+
+    if not water.empty:
+        water_color = adjust_color_hex('#81A1C1')
+        water.plot(ax=ax, facecolor=water_color, edgecolor='none')
+
+    if not buildings.empty:
+        building_color = adjust_color_hex('#D08770')
+        buildings.plot(ax=ax, facecolor=building_color, edgecolor='none')
+
+    if not edges.empty and 'highway' in edges.columns:
+        major_roads = edges[edges['highway'].isin(['motorway', 'trunk', 'primary'])]
+        if not major_roads.empty:
+            major_road_color = adjust_color_hex('#88C0D0')
+            major_roads.plot(ax=ax, linewidth=2, edgecolor=major_road_color)
+
+        medium_roads = edges[edges['highway'].isin(['secondary', 'tertiary'])]
+        if not medium_roads.empty:
+            medium_road_color = adjust_color_hex('#5E81AC')
+            medium_roads.plot(ax=ax, linewidth=1.5, edgecolor=medium_road_color)
+
+        minor_roads = edges[~edges['highway'].isin(['motorway', 'trunk', 'primary', 'secondary', 'tertiary'])]
+        if not minor_roads.empty:
+            minor_road_color = adjust_color_hex('#4C566A')
+            minor_roads.plot(ax=ax, linewidth=1, edgecolor=minor_road_color)
+
+    ax.axis('off')
+
+    buf = io.BytesIO()
+    plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0, dpi=300)
+    plt.close()
+    buf.seek(0)
+    img = Image.open(buf)
+    return img
+
+# Streamlit app setup
+st.title("Artistic Map Generator")
+
+st.write("Generate an artistic map based on the specified latitude, longitude, and distance.")
+
+# User inputs
+lat = st.number_input("Latitude", value=35.6895)
+lon = st.number_input("Longitude", value=139.6917)
+distance = st.number_input("Distance (meters)", value=1000)
+
+if st.button("Generate Map"):
+    with st.spinner("Generating map..."):
+        img = create_artistic_map(lat, lon, distance)
+        st.image(img, caption="Generated Artistic Map", use_column_width=True)