Update app.py

app.py

@@ -94,7 +94,7 @@ with gr.Blocks(title=title) as demo:
             )
     
     gr.Markdown("### Click on any of the examples below to see how it works:")
-    gr.Textbox(label="Kings County, New York")
+    gr.Markdown("Miami-Dade County, Florida")
     gr.Examples([[32.03, 68.86, 50.5, 50.5, .1, 30, 19.41, 57.47, 1.024, 45.16, .5441, .4393, .4095, .2630, .3799, .3773]], 
                 [EAL_SCORE,SOVI_SCORE,RESL_SCORE,DROUGHT_RISKS,EARTHQUAKE_RISKS,HURICANE_RISKS,TORNADO_RISKS,WILDFIRE_RISKS,WINTERWEATHER_RISKS,SOCIAL,ECONOMY,HOUSING_INFRASTRUCTURE,COMMUNNITY_CAPITAL,INSTITUTIONAL,ENVIRONMENT], 
                 [label,local_plot], main_func, cache_examples=True)
@@ -102,11 +102,11 @@ with gr.Blocks(title=title) as demo:
     gr.Examples([[46.24, 63.85, 53.39, 31.27, 6.771, 58.93, 76.76, 54.54, 0, .564, .4703, .3068, .2161, .3623, .6264]], 
                 [EAL_SCORE,SOVI_SCORE,RESL_SCORE,DROUGHT_RISKS,EARTHQUAKE_RISKS,HURICANE_RISKS,TORNADO_RISKS,WILDFIRE_RISKS,WINTERWEATHER_RISKS,SOCIAL,ECONOMY,HOUSING_INFRASTRUCTURE,COMMUNNITY_CAPITAL,INSTITUTIONAL,ENVIRONMENT], 
                 [label,local_plot], main_func, cache_examples=True)
-    gr.Textbox(label="Washington County, Minnesota")
+    gr.Markdown("Washington County, Minnesota")
     gr.Examples([[21.06, 15.37, 58.77, 2.32, .5035, 0, 11.98, 4.957, 6.808, .7231, .5359, .2884, .328, .407, .5015]], 
                 [EAL_SCORE,SOVI_SCORE,RESL_SCORE,DROUGHT_RISKS,EARTHQUAKE_RISKS,HURICANE_RISKS,TORNADO_RISKS,WILDFIRE_RISKS,WINTERWEATHER_RISKS,SOCIAL,ECONOMY,HOUSING_INFRASTRUCTURE,COMMUNNITY_CAPITAL,INSTITUTIONAL,ENVIRONMENT], 
                 [label,local_plot], main_func, cache_examples=True)
-    gr.Textbox(label="Falls Church, Virginia")
+    gr.Markdownbox("Falls Church, Virginia")
     gr.Examples([[6.947, 4.178, 56.86, 0, .1587, .5027, 1.071, 0, 0, .8181, .5221, .3878, .2463, .389, .3921]], 
                 [EAL_SCORE,SOVI_SCORE,RESL_SCORE,DROUGHT_RISKS,EARTHQUAKE_RISKS,HURICANE_RISKS,TORNADO_RISKS,WILDFIRE_RISKS,WINTERWEATHER_RISKS,SOCIAL,ECONOMY,HOUSING_INFRASTRUCTURE,COMMUNNITY_CAPITAL,INSTITUTIONAL,ENVIRONMENT], 
                 [label,local_plot], main_func, cache_examples=True)