Update app.py

app.py

@@ -27,7 +27,7 @@ import rioxarray
 import numpy as np
 
 
-@st.cache
+@st.cache_resource
 def geocode(address, buffer_size):
     try:
         address2 = address.replace(' ', '+').replace(',', '%2C')
@@ -49,7 +49,7 @@ def geocode(address, buffer_size):
     return gdf
 
 
-@st.cache
+@st.cache_resource
 def get_pngs(date):
     year, month, day = date[:4], date[4:6], date[6:]
     url = f'https://mrms.nssl.noaa.gov/qvs/product_viewer/local/render_multi_domain_product_layer.php?mode=run&cpp_exec_dir=/home/metop/web/specific/opv/&web_resources_dir=/var/www/html/qvs/product_viewer/resources/&prod_root={prod_root}&qperate_pal_option=0&qpe_pal_option=0&year={year}&month={month}&day={day}&hour={hour}&minute={minute}&clon={lon}&clat={lat}&zoom={zoom}&width=920&height=630'
@@ -62,14 +62,14 @@ def get_pngs(date):
     return data2_df2.reset_index()
 
 
-@st.cache
+@st.cache_resource
 def get_pngs_parallel(dates):
     results1 = Parallel(n_jobs=32, prefer="threads")(
         delayed(get_pngs)(i) for i in dates)
     return results1
 
 
-@st.cache
+@st.cache_resource
 def png_data(date):
     year, month, day = date[:4], date[4:6], date[6:]
     url = f'https://mrms.nssl.noaa.gov/qvs/product_viewer/local/render_multi_domain_product_layer.php?mode=run&cpp_exec_dir=/home/metop/web/specific/opv/&web_resources_dir=/var/www/html/qvs/product_viewer/resources/&prod_root={prod_root}&qperate_pal_option=0&qpe_pal_option=0&year={year}&month={month}&day={day}&hour={hour}&minute={minute}&clon={lon}&clat={lat}&zoom={zoom}&width=920&height=630'
@@ -77,7 +77,7 @@ def png_data(date):
     return data
 
 
-@st.cache(allow_output_mutation=True)
+@st.cache_resource
 def map_folium(data, gdf):
     m = folium.Map(location=[lat, lon],  zoom_start=zoom, height=300)
     folium.Marker(
@@ -89,11 +89,9 @@ def map_folium(data, gdf):
         data, opacity=0.8, bounds=bounds).add_to(m)
     return m
 
-
 def to_radians(degrees):
   return degrees * math.pi / 180
 
-
 def lat_lon_to_bounds(lat, lng, zoom, width, height):
     earth_cir_m = 40075016.686
     degreesPerMeter = 360 / earth_cir_m
@@ -109,7 +107,6 @@ def lat_lon_to_bounds(lat, lng, zoom, width, height):
 
     return [[lat-shift_deg_ns, lng-shift_deg_ew], [lat+shift_deg_ns, lng+shift_deg_ew]]
 
-
 def image_to_geotiff(bounds, input_file_path, output_file_path='template.tiff'):
     south, west, north, east = tuple(
         [item for sublist in bounds for item in sublist])