text: import ee
  import folium
  import streamlit as st
  import geemap.foliumap as geemap
  
  
  def app():
  
      st.title('Split-panel Map')
  
      markdown = """The split-panel map requires two layers: `left_layer` and `right_layer`. The layer instance can be a string representing a basemap, or an HTTP URL to a Cloud Optimized GeoTIFF (COG), or a folium TileLayer instance."""
      st.markdown(markdown)
  
      st.header('Using basemaps')
      with st.echo():
          m = geemap.Map(height=500)
          m.split_map(left_layer='TERRAIN', right_layer='OpenTopoMap')
          m.to_streamlit(height=600)
  
      st.header('Using COG')
      with st.echo():
          m = geemap.Map(height=600, center=[39.4948, -108.5492], zoom=12)
          url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'
          url2 = 'https://opendata.digitalglobe.com/events/california-fire-2020/post-event/2020-08-14/pine-gulch-fire20/10300100AAC8DD00.tif'
          m.split_map(url, url2)
          m.to_streamlit(height=600)
  
      st.header('Using folium TileLayer')
      with st.echo():
          m = geemap.Map(center=[40, -100], zoom=4)
  
          url1 = (
              'https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2001_Land_Cover_L48/wms?'
          )
          url2 = (
              'https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2019_Land_Cover_L48/wms?'
          )
  
          left_layer = folium.WmsTileLayer(
              url=url1,
              layers='NLCD_2001_Land_Cover_L48',
              name='NLCD 2001',
              attr='MRLC',
              fmt="image/png",
              transparent=True,
          )
          right_layer = folium.WmsTileLayer(
              url=url2,
              layers='NLCD_2019_Land_Cover_L48',
              name='NLCD 2019',
              attr='MRLC',
              fmt="image/png",
              transparent=True,
          )
  
          m.split_map(left_layer, right_layer)
          m.add_legend(builtin_legend='NLCD')
          m.to_streamlit(height=600)
  
      st.header('Using Earth Engine layers')
      with st.echo():
          m = geemap.Map(center=[39.3322, -106.7349], zoom=10)
          srtm = ee.Image("USGS/SRTMGL1_003")
          hillshade = ee.Terrain.hillshade(srtm)
          vis = {
              'min': 0,
              'max': 5000,
              'palette': ["006633", "E5FFCC", "662A00", "D8D8D8", "F5F5F5"],
          }
          left_layer = geemap.ee_tile_layer(hillshade, name='Hillshade')
          right_layer = geemap.ee_tile_layer(srtm, vis, name='DEM')
          m.split_map(left_layer, right_layer)
          m.to_streamlit(height=600)
  