Fix pre-commit error

pages/00_home.py

@@ -6,7 +6,7 @@ def Page():
     with solara.Column(align="center"):
         markdown = """
         ## Earth Engine Web Apps
-        
+
         ### Introduction
 
         **A collection of Earth Engine web apps developed using [Solara](https://github.com/widgetti/solara) and geemap**
@@ -15,7 +15,7 @@ def Page():
         - GitHub: <https://github.com/opengeos/solara-geemap>
         - Hugging Face: <https://huggingface.co/spaces/giswqs/solara-geemap>
 
-        
+
         ### How to deploy this app on Hugging Face Spaces
 
         1. Go to <https://huggingface.co/spaces/giswqs/solara-geemap/tree/main> and duplicate the space to your own space.

pages/02_inspector.py

@@ -13,27 +13,27 @@ class Map(geemap.Map):
 
     def add_ee_data(self):
         # Add Earth Engine dataset
-        dem = ee.Image('USGS/SRTMGL1_003')
-        landsat7 = ee.Image('LANDSAT/LE7_TOA_5YEAR/1999_2003').select(
-            ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']
+        dem = ee.Image("USGS/SRTMGL1_003")
+        landsat7 = ee.Image("LANDSAT/LE7_TOA_5YEAR/1999_2003").select(
+            ["B1", "B2", "B3", "B4", "B5", "B7"]
         )
         states = ee.FeatureCollection("TIGER/2018/States")
 
         # Set visualization parameters.
         vis_params = {
-            'min': 0,
-            'max': 4000,
-            'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
+            "min": 0,
+            "max": 4000,
+            "palette": ["006633", "E5FFCC", "662A00", "D8D8D8", "F5F5F5"],
         }
 
         # Add Earth Engine layers to Map
         self.addLayer(
             landsat7,
-            {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0},
-            'Landsat 7',
+            {"bands": ["B4", "B3", "B2"], "min": 20, "max": 200, "gamma": 2.0},
+            "Landsat 7",
             True,
         )
-        self.addLayer(dem, vis_params, 'SRTM DEM', True, 1)
+        self.addLayer(dem, vis_params, "SRTM DEM", True, 1)
         self.addLayer(states, {}, "US States")
 
 

pages/03_plotting.py

@@ -11,23 +11,23 @@ class Map(geemap.Map):
         self.add_plot_gui()
 
     def add_ee_data(self):
-        landsat7 = ee.Image('LANDSAT/LE7_TOA_5YEAR/1999_2003').select(
-            ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']
+        landsat7 = ee.Image("LANDSAT/LE7_TOA_5YEAR/1999_2003").select(
+            ["B1", "B2", "B3", "B4", "B5", "B7"]
         )
 
-        landsat_vis = {'bands': ['B4', 'B3', 'B2'], 'gamma': 1.4}
+        landsat_vis = {"bands": ["B4", "B3", "B2"], "gamma": 1.4}
         self.addLayer(landsat7, landsat_vis, "Landsat")
 
-        hyperion = ee.ImageCollection('EO1/HYPERION').filter(
-            ee.Filter.date('2016-01-01', '2017-03-01')
+        hyperion = ee.ImageCollection("EO1/HYPERION").filter(
+            ee.Filter.date("2016-01-01", "2017-03-01")
         )
 
         hyperion_vis = {
-            'min': 1000.0,
-            'max': 14000.0,
-            'gamma': 2.5,
+            "min": 1000.0,
+            "max": 14000.0,
+            "gamma": 2.5,
         }
-        self.addLayer(hyperion, hyperion_vis, 'Hyperion')
+        self.addLayer(hyperion, hyperion_vis, "Hyperion")
 
 
 @solara.component

pages/04_split_map.py

@@ -11,25 +11,25 @@ class Map(geemap.Map):
 
     def add_ee_data(self):
         # Select the eight NLCD epochs after 2000.
-        years = ['2001', '2004', '2006', '2008', '2011', '2013', '2016', '2019']
+        years = ["2001", "2004", "2006", "2008", "2011", "2013", "2016", "2019"]
 
         # Get an NLCD image by year.
         def getNLCD(year):
             # Import the NLCD collection.
-            dataset = ee.ImageCollection('USGS/NLCD_RELEASES/2019_REL/NLCD')
+            dataset = ee.ImageCollection("USGS/NLCD_RELEASES/2019_REL/NLCD")
 
             # Filter the collection by year.
-            nlcd = dataset.filter(ee.Filter.eq('system:index', year)).first()
+            nlcd = dataset.filter(ee.Filter.eq("system:index", year)).first()
 
             # Select the land cover band.
-            landcover = nlcd.select('landcover')
+            landcover = nlcd.select("landcover")
             return landcover
 
         ## Create an NLCD image collection for the selected years.
         collection = ee.ImageCollection(ee.List(years).map(lambda year: getNLCD(year)))
 
         # Create a list of labels to populate the dropdown list.
-        labels = [f'NLCD {year}' for year in years]
+        labels = [f"NLCD {year}" for year in years]
 
         # Add a split-panel map for visualizing NLCD land cover change.
         self.ts_inspector(
@@ -41,7 +41,10 @@ class Map(geemap.Map):
 
         # Add the NLCD legend to the map.
         self.add_legend(
-            title='NLCD Land Cover Type', builtin_legend='NLCD', height="460px", add_header=False
+            title="NLCD Land Cover Type",
+            builtin_legend="NLCD",
+            height="460px",
+            add_header=False,
         )
 
 

requirements.txt

@@ -1,4 +1,4 @@
 geemap
-solara
 geopandas
-pydantic< 2.0 
+pydantic< 2.0
+solara