diff --git a/PSILARTEMP.cfg b/PSILARTEMP.cfg
index 3eb9b6e5c09347a58f907d9d37fde7d2ec626ce8..fdfa1d015ab78026cdc8614fee60c9e090306697 100644
--- a/PSILARTEMP.cfg
+++ b/PSILARTEMP.cfg
@@ -7,9 +7,11 @@ no_forecast = No forecast
 no_risk = No risk
 possible_risk = Possible risk
 high_risk = High risk
+day_degrees = Day degrees
 
 [i18n.nb]
 no_forecast = Varsel beregnes ikke
 no_risk = Ingen infeksjonsrisikok
 possible_risk = Mulig fare for angrep
-high_risk = Høy fare for angrep
\ No newline at end of file
+high_risk = Høy fare for angrep
+day_degrees = Døgngrader
\ No newline at end of file
diff --git a/PSILARTEMP.py b/PSILARTEMP.py
index 574bb4b9050efaf01247c6c081e8bc346b04fa25..a863b571d3c9b5df603bb282a66f3d1968c88d9f 100755
--- a/PSILARTEMP.py
+++ b/PSILARTEMP.py
@@ -38,7 +38,7 @@ out_path = os.getenv("DATA_DIR")
 utc_offset = "+02:00"
 local_timezone = pytz.timezone("Europe/Oslo")
 
-"""
+#"""
 # Calculate cumulated degree days above 5 degrees after 1st of April
 # Remove all values before April 1st
 subprocess.run(f"cdo -selname,TM -seldate,2023-04-01T00:00:00,2023-12-31T00:00:00 {weatherdata_path}met_1_0km_nordic-2023.nc {tmp_path}TM_from_april.nc", shell=True)
@@ -66,7 +66,7 @@ else:
 # (A>0)*(A<=260)*2 + (A>260)*(A<=360)*3 + (A>360)*(A<=560)*4 + (A>560)*0
 subprocess.run(f'cdo -aexpr,"WARNING_STATUS=(TM>0)*(TM<=260)*2 + (TM>260)*(TM<=360)*3 + (TM>360)*(TM<=560)*4 + (TM>560)*0" {tmp_path}DD.nc {tmp_path}result.nc', shell=True)
 
-"""
+#"""
 
 # Split the combined file into daily .nc files again, with YYYY-MM-DD in the filename. Convert to corresponding GeoTIFF files
 # Variables that needs discrete classification, must be integers in order for mapserver to work properly (Don't ask!)
@@ -82,7 +82,7 @@ for timestep in timesteps:
     #print(f"{timestep_index}: {file_date}")
     timestep_dates.append(file_date)
     # We must delete the GeoTIFF file before merging
-    """
+    #"""
     subprocess.run(f'rm {tmp_path}result_*{file_date}_lcc.tif', shell=True)
     subprocess.run(f'rm {out_path}result_*{file_date}.tif', shell=True)
     with open("/dev/null", "w") as devnull:
@@ -91,7 +91,7 @@ for timestep in timesteps:
         # Need to reproject the files, to ensure we have the projection given in the generted mapfile. We always use EPSG:4326 for this
         subprocess.run(f'gdalwarp -t_srs EPSG:4326 {tmp_path}result_WARNING_STATUS_{file_date}_lcc.tif {out_path}result_WARNING_STATUS_{file_date}.tif', shell=True, stdout=devnull)
         subprocess.run(f'gdalwarp -t_srs EPSG:4326 {tmp_path}result_{file_date}_lcc.tif {out_path}result_{file_date}.tif', shell=True, stdout=devnull)
-    """
+    #"""
     timestep_index = timestep_index + 1
 
 if len(timestep_dates) != len(set(timestep_dates)):
@@ -103,7 +103,8 @@ if len(timestep_dates) != len(set(timestep_dates)):
 # Generate mapfile
 # Building data sets for language specific legends
 languages = []
-for language_code in config["i18n"]["languages"].split(","):
+language_codes = config["i18n"]["languages"].split(",");
+for language_code in language_codes:
      language = {"language_code": language_code}
      if ("i18n.%s" % language_code) in config:
         for keyword in config["i18n.%s" % language_code]:
@@ -120,7 +121,8 @@ output = template.render({
      "mapserver_log_file": os.getenv("MAPSERVER_LOG_FILE"),
      "mapserver_image_path": os.getenv("MAPSERVER_IMAGE_PATH"),
      "mapserver_extent": os.getenv("MAPSERVER_EXTENT"),
-     "languages": languages
+     "languages": languages,
+     "language_codes": language_codes
 })
 mapfile_outdir = os.getenv("MAPFILE_DIR")
 with open(f"{mapfile_outdir}/PSILARTEMP.map", 'w') as f:
diff --git a/mapfile/template.j2 b/mapfile/template.j2
index 2af9992bab6b3b3c64dd8a63571fa55026e5341a..b9c24666c94a2ec633e02dc04cf60643c643bca2 100644
--- a/mapfile/template.j2
+++ b/mapfile/template.j2
@@ -35,9 +35,12 @@ WEB
     # List of standard metadata: https://mapserver.org/ogc/wms_server.html#web-object-metadata
     # i18n support: https://mapserver.org/ogc/inspire.html#inspire-multi-language-support  
     METADATA
-            "wms_inspire_capabilities" "embed"
-            "wms_languages" "en,nb" # The first is the default
             "wms_keywordlist" "VIPS model Carrot Rust Fly (PSILARTEMP)"
+            {% if languages %}
+            "wms_inspire_capabilities" "embed"
+            "wms_languages" "{{ language_codes|join(",")}}" # The first is the default
+            {% endif %}
+            
             "wms_abstract.nb" "
             <h2>Modellbeskrivelse</h2>
             <p>Varslingsmodellen &laquo;Gulrotflue svermetidspunkt&raquo; er basert p&aring; en finsk, temperaturbasert modell (Markkula <em>et al</em>, 1998; Tiilikkala &amp; Ojanen, 1999; Markkula <em>et al</em>, 2000). Modellen beregner tidspunkt for sverming av 1. generasjon og 2. generasjon av gulrotflue basert p&aring; akkumulering av graddager (d&oslash;gngrader) over en basistemperatur p&aring; 5 &deg;C. I VIPS benyttes modellen kun for 1. generasjon.</p>
@@ -182,19 +185,21 @@ LAYER
      DATA "{{mapserver_data_dir}}result_{{ timestep_date }}.tif"
      TEMPLATE "{{mapserver_mapfile_dir}}query_template_DD.xml" TOLERANCE 1 TOLERANCEUNITS PIXELS
      TYPE RASTER
-     #PROCESSING "BANDS=1" # DD band on top (others invisible, but band values are available in the query template)
-     #PROCESSING "SCALE=AUTO"
-     #PROCESSING "NODATA=-1"
-   
-   
      STATUS ON
      METADATA
        "wms_title"     "Carrot rust fly (Psila rosae) temperature model Day Degrees {{ timestep_date }}"
+       {% for language in languages %}
+      "wms_abstract.{{language.language_code}}" "
+      <ul style=\"list-style: none; padding: 0;\">
+      <li style=\"margin-bottom: 5px;\"><span style=\"display: inline-block; width: 25px; background: linear-gradient(to right, #0000FF, #FF0000);\">&nbsp;</span> {{language.day_degrees}}</li>
+      </ul>
+      "
+      {% endfor %}
      END
+
     CLASSITEM "[pixel]"
     CLASS
       NAME "Day degrees"
-      #EXPRESSION ([pixel] >= 0 AND [pixel] <= 72)
       STYLE
         DATARANGE 0 1000
         COLORRANGE 0 0 255 255 0 0