Upload app.py

app.py

@@ -161,15 +161,15 @@ def flood_detection(city, ground_df = ground_df, df = df):
 
 city = gr.inputs.Dropdown(choices=list(df.City.unique()), type="value",label = "Please select a city from the list")
 
-output_lat = gr.Number(label = "Closest latitude point is")
-output_lon = gr.Number(label = "Closest longitude point is")
-output_ground = gr.Number(label = "Ground elevation")
+output_lat = gr.Number(label = "Latitude")
+output_lon = gr.Number(label = "Longitude")
+output_ground = gr.Number(label = "Ground elevation(m)")
 output1 = gr.outputs.Textbox(type="auto", label="Mean Sea Level Prediction in 2021-01(m)")
-label1 =  gr.outputs.Textbox(type="auto", label="Flooding label of in 2021-01")
+label1 =  gr.outputs.Textbox(type="auto", label="Flood Classification in 2021-01")
 output2 = gr.outputs.Textbox(type="auto", label="Mean Sea Level Prediction in 2021-02(m)")
-label2 =  gr.outputs.Textbox(type="auto", label="Flooding label of in 2021-02")
+label2 =  gr.outputs.Textbox(type="auto", label="Flood Classification in 2021-02")
 output3 = gr.outputs.Textbox(type="auto", label="Mean Sea Level Prediction in 2021-03(m)")
-label3 =  gr.outputs.Textbox(type="auto", label="Flooding label of in 2021-03")
+label3 =  gr.outputs.Textbox(type="auto", label="Flood Classification in 2021-03")
 output_graph = gr.Plot(type="auto")
 app = gr.Interface(fn=flood_detection, inputs=[city], outputs=[output_lat,output_lon,output_ground,output1,label1,output2,label2,output3,label3,output_graph],description="Please select a city to find the flooding risk label")
 app.launch()