Update pages/8_Rainfall.py

pages/8_Rainfall.py

@@ -2,14 +2,13 @@ import streamlit as st
 import requests
 from datetime import datetime, timedelta
 from pytz import timezone
-from PIL import Image
 from io import BytesIO
 import time
 import folium
 import base64
 import pandas as pd
 import numpy as np
-import plotly.graph_objs as go
+from PIL import Image, ImageFilter
 
 st.set_page_config(layout="wide", page_title="Rainfall Data Dashboard")
 
@@ -62,8 +61,12 @@ def filter_image_by_color(image, colors_to_extract_rgb):
     img_array[~color_mask] = [255, 255, 255, 0]
     return Image.fromarray(img_array)
 
+def smooth_image(image):
+    return image.filter(ImageFilter.GaussianBlur(radius=3))
+
 def create_map_with_radar_tile(image):
     filtered_image = filter_image_by_color(image, COLORS_TO_EXTRACT_RGB)
+    smoothed_image = smooth_image(filtered_image)
     m = folium.Map(location=[22.364, 114.148], zoom_start=10, min_zoom=10, max_zoom=19,
                    tiles='https://mapapi.geodata.gov.hk/gs/api/v1.0.0/xyz/imagery/wgs84/{z}/{x}/{y}.png',
                    attr="Map information from Lands Department", control_scale=True, name="Basemap")
@@ -73,12 +76,12 @@ def create_map_with_radar_tile(image):
         overlay=True,
         name="Labels"
     ).add_to(m)
-    img_url = f"data:image/png;base64,{image_to_base64(filtered_image)}"
+    img_url = f"data:image/png;base64,{image_to_base64(smoothed_image)}"
     folium.raster_layers.ImageOverlay(
         image=img_url,
         name="HKO Radar Image",
         bounds=[[22.893, 113.538], [21.716, 115.362]],
-        opacity=0.75,
+        opacity=0.9,
         interactive=False,
         cross_origin=False,
         zindex=1,
@@ -158,7 +161,7 @@ with col1:
                 # Create and display the map
                 map_html = create_map_with_radar_tile(image)
                 map_placeholder.empty()
-                map_placeholder = st.components.v1.html(map_html,height = 750)
+                map_placeholder = st.components.v1.html(map_html,height=750)
 
                 if actual_time != interval:
                     info_placeholder.warning(