updated input descriptions

app.py

@@ -150,27 +150,27 @@ def load_interface():
     # set inputs and outputs for the model
     longitude = gr.Number(label="Longitude", precision=5, info="The Longitude of the location")
     latitude = gr.Number(label="Latitude", precision=5, info="The Latitude of the location")
-    m150_NPCRI = gr.Number(label="150m NPCRI", precision=5, info="The average Normalized Difference Vegetation Index in a 150m Buffer Zone")
+    m150_NPCRI = gr.Number(label="150m NPCRI", precision=5, info="The average Normalized Difference Vegetation Index in a 150m Buffer Zone. NPCRI is a remote sensing index designed to estimate the chlorophyll content in vegetation.")
     m100_Ground_Elevation = gr.Number(label="100m Ground Elevation", precision=5, info="The average Ground Elevation in a 100m Buffer Zone")
-    avg_wind_speed = gr.Number(label="Avg Wind Speed [m/s]", precision=5, info="The average Wind Speed at the location")
-    wind_direction = gr.Number(label="Wind Direction [degrees]", precision=5, info="The average Wind Direction at the location")
+    avg_wind_speed = gr.Number(label="Avg Wind Speed [m/s]", precision=5, info="The average Wind Speed [m/s] at the location")
+    wind_direction = gr.Number(label="Wind Direction [degrees]", precision=5, info="The average Wind Direction [degrees] at the location")
     traffic_volume = gr.Number(label="Traffic Volume", precision=5, info="The Traffic Volume at the location")
     m150_Ground_Elevation = gr.Number(label="150m Ground Elevation", precision=5, info="The average Ground Elevation in a 150m Buffer Zone")
-    relative_humidity = gr.Number(label="Relative Humidity [percent]", precision=5, info="The average Relative Humidity at the location")
-    m150_NDVI = gr.Number(label="150m NDVI", precision=5, info="The average Normalized Difference Vegetation Index in a 150m Buffer Zone")
-    m150_NDBI = gr.Number(label="150m NDBI", precision=5, info="The average Normalized Difference Built-up Index in a 150m Buffer Zone")
-    m300_SI = gr.Number(label="300m SI", precision=5, info="The average Shadow Index in a 300m Buffer Zone")
-    m300_NPCRI = gr.Number(label="300m NPCRI", precision=5, info="The average Normalized Pigment Chlorophyll Ratio Index in a 300m Buffer Zone")
-    m300_Coastal_Aerosol = gr.Number(label="300m Coastal Aerosol", precision=5, info="The average Coastal Aerosol in a 300m Buffer Zone")
+    relative_humidity = gr.Number(label="Relative Humidity [percent]", precision=5, info="The average Relative Humidity [percent] at the location")
+    m150_NDVI = gr.Number(label="150m NDVI", precision=5, info="The average Normalized Difference Vegetation Index in a 150m Buffer Zone. NDVI is used to measure the greenness of vegetation.")
+    m150_NDBI = gr.Number(label="150m NDBI", precision=5, info="The average Normalized Difference Built-up Index in a 150m Buffer Zone. NDBI is a ratio-based index to highlight built-up areas or areas of urbanization")
+    m300_SI = gr.Number(label="300m SI", precision=5, info="The average Shadow Index in a 300m Buffer Zone. SI helps in identifying areas where shadows occur.")
+    m300_NPCRI = gr.Number(label="300m NPCRI", precision=5, info="The average Normalized Pigment Chlorophyll Ratio Index in a 300m Buffer Zone. NPCRI is a remote sensing index designed to estimate the chlorophyll content in vegetation.")
+    m300_Coastal_Aerosol = gr.Number(label="300m Coastal Aerosol", precision=5, info="The average Coastal Aerosol in a 300m Buffer Zone. Coastal aerosol refers to aerosol particles (tiny solid or liquid particles suspended in the atmosphere) that are found in or around coastal regions.")
     m300_Total_Building_Area_m2 = gr.Number(label="300m Total Building Area(m2)", precision=5, info="The Total Building Area in a 300m Buffer Zone")
     m300_Building_Construction_Year = gr.Number(label="300m Building Construction Year", precision=5, info="The average Building Construction Year in a 300m Buffer Zone")
     m300_Ground_Elevation = gr.Number(label="300m Ground Elevation", precision=5, info="The average Ground Elevation in a 300m Buffer Zone")
     m300_Building_Height = gr.Number(label="300m Building Height", precision=5, info="The average Building Height in a 300m Buffer Zone")
     m300_Building_Count = gr.Number(label="300m Building Count", precision=5, info="The average Building Count in a 300m Buffer Zone")
-    m300_NDVI = gr.Number(label="300m NDVI", precision=5, info="The average Normalized Difference Vegetation Index in a 300m Buffer Zone")
-    m300_NDBI = gr.Number(label="300m NDBI", precision=5, info="The average Normalized Difference Built-up Index in a 300m Buffer Zone")
+    m300_NDVI = gr.Number(label="300m NDVI", precision=5, info="The average Normalized Difference Vegetation Index in a 300m Buffer Zone. NDVI is used to measure the greenness of vegetation.")
+    m300_NDBI = gr.Number(label="300m NDBI", precision=5, info="The average Normalized Difference Built-up Index in a 300m Buffer Zone. NDBI is a ratio-based index to highlight built-up areas or areas of urbanization")
     m300_Building_Density = gr.Number(label="300m Building Density", precision=5, info="The average Building Density in a 300m Buffer Zone")
-    solar_flux = gr.Number(label="Solar Flux [W/m^2]", precision=5, info="The average Solar Flux at the location")
+    solar_flux = gr.Number(label="Solar Flux [W/m^2]", precision=5, info="The average Solar Flux [W/m^2] at the location")
     inputs = [longitude, latitude, m150_NPCRI, m100_Ground_Elevation, avg_wind_speed, wind_direction, 
               traffic_volume, m150_Ground_Elevation, relative_humidity, m150_NDVI, 
               m150_NDBI, m300_SI, m300_NPCRI, m300_Coastal_Aerosol, m300_Total_Building_Area_m2,
@@ -199,7 +199,7 @@ def load_interface():
         ["Information", "UHI Model"]
     )
     
-    iface.launch(server_name="0.0.0.0", server_port=7860, allowed_paths=["/"])
+    iface.launch(server_name="0.0.0.0", server_port=7860, allowed_paths=["/"], share=True)
 
 if __name__ == "__main__":
     load_interface()