Update app.py

app.py

@@ -422,7 +422,7 @@ def predict_inverse(antimicrobial_activity_target, substrate, microorganism, num
 
     return (optimized_x['Binder'].iloc[0], optimized_x['NMs_Type'].iloc[0], optimized_x['Primary_Size (nm)'].iloc[0],
             optimized_x['NM-Shape'].iloc[0], optimized_x['Concetration (µg/mL)'].iloc[0],
-            optimized_x['NPs_Synthesis_method'].iloc[0], optimized_x['Application method\n'].iloc[0], optimized_x['Washing_cycles'].iloc[0], 
+            optimized_x['NPs_Synthesis_method'].iloc[0], optimized_x['Application method\n'].iloc[0], 
             optimized_x['Washing_Detergent'].iloc[0], optimized_x['Washing_Temp'].iloc[0])
 
 
@@ -484,7 +484,6 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
                     optimal_nps_synthesis = gr.Text(label="Optimal nps synthesis method")
                     optimal_application_method = gr.Text(label="Optimal application method")
                     gr.Markdown("### Optimal washing conditions")
-                    optimal_washing_cycles = gr.Text(label="Optimal number of washing cycles")
                     optimal_washing_detergent = gr.Text(label="Optimal washing detergent")
                     optimal_washing_temperature = gr.Text(label="Optimal washing temperature")
 
@@ -508,7 +507,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
             antimicrobial_activity_target,
             substrate, microorganism, num_washing_cycles,
             optimal_binder, optimal_nms_type, optimal_primary_size, optimal_nm_shape, 
-            optimal_concentration, optimal_nps_synthesis, optimal_application_method, optimal_washing_cycles,
+            optimal_concentration, optimal_nps_synthesis, optimal_application_method, 
             optimal_washing_detergent, optimal_washing_temperature,
         ],
     )