Update app.py

app.py

@@ -39,30 +39,22 @@ def main_func(CLIMATE_SCENARIO, EAL_SCORE,SOVI_SCORE,SOCIAL,ECONOMY,HOUSING_INFR
 # Create the UI
 title = "**Climate Risk Model** 🌍"
 description1 = """
-This interface allows a user to populate data from three pre-selected counties or a county of their choosing. The pre-selected counties are Miami-Dade County in Florida, Washington County in Minnesota, or Falls Church County in Virginia. In order to acquire the data for a county of their choosing, a user can navigate to a team-built tableau dashboard. Either select one of three counties at bottom of page or enter custom data in the fields.
+The pre-selected counties are Miami-Dade County in Florida, Washington County in Minnesota, or Falls Church County in Virginia. To acquire the data for a county of their choosing, you can navigate to a team-built tableau dashboard (https://public.tableau.com/app/profile/michael.durst/viz/ClimateChangeHackathon/ExpectedRiskbyCounty?publish=yes). 
 """
 
 description2 ="""
-(https://public.tableau.com/app/profile/michael.durst/viz/ClimateChangeHackathon/ExpectedRiskbyCounty?publish=yes)
+Either select one of three counties at bottom of page or enter custom data in the fields. Once the interface is pre-populated with data or you enter data from a county of your choosing, you can experiment with the data elements by clicking analyze and adjusting the variables available on the sliding scale to see how the outputs are affected.
 """
 
 description3 = """
-Once the interface is pre-populated with data or a user enters data from their county, a user can experiment with the following data elements by clicking analyze and adjusting the variables available on the sliding scale.
-""" 
-
-description4 = """
-As an output, the user can then see the effects this variables have on the risk score and risk rating as well as see a high to low ranked order of community resilience categories.
+As an output, you can then see the effects these variables have on the risk rating.
 """ 
 
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-    # gr.Markdown("""![marketing](types-of-employee-turnover.jpg)""")
     gr.Markdown(description1)
-    # gr.Markdown("""---""")
     gr.Markdown(description2)
     gr.Markdown(description3)
-    gr.Markdown(description4)
-    # gr.Markdown("""---""")
     with gr.Row():        
         with gr.Column():                 
             CLIMATE_SCENARIO = gr.Slider(label="Climate Scenario", minimum=0, maximum=2, value=0, step=1)