update app.py

app.py

@@ -131,16 +131,16 @@ with st.form("inputs"):
         prediction_price = round(prediction_psf * input_floor_area_sqft)
 
         if latlong_geo_nolatlong_encoded['propertyType_Apartment'].item() == 1:
-            st.success("The predicted price of your property is ${:,}, with 95% confidence interval at ${:,} - ${:,}.".format(
+            st.success("The predicted price of your property is `$`{:,}, with 95% confidence interval at `$`{:,} - `$`{:,}.".format(
                 prediction_price, int(prediction_price - 2*sd_hdb*input_floor_area_sqft), int(prediction_price + 2*sd_hdb*input_floor_area_sqft)))
         elif latlong_geo_nolatlong_encoded['propertyType_Condominium'].item() == 1:
-            st.success("The predicted price of your property is ${:,}, with 95% confidence interval at ${:,} - ${:,}.".format(
+            st.success("The predicted price of your property is <span>$</span>{:,}, with 95% confidence interval at <span>$</span>{:,} - <span>$</span>{:,}.".format(
                 prediction_price, int(prediction_price - 2*sd_condo*input_floor_area_sqft), int(prediction_price + 2*sd_condo*input_floor_area_sqft)))
         elif latlong_geo_nolatlong_encoded['propertyType_Executive_Condominium'].item() == 1:
-            st.success("The predicted price of your property is ${:,}, with 95% confidence interval at ${:,} - ${:,}.".format(
+            st.success("The predicted price of your property is $\$${:,}, with 95% confidence interval at $\$${:,} - $\$${:,}.".format(
                 prediction_price, int(prediction_price - 2*sd_ec*input_floor_area_sqft), int(prediction_price + 2*sd_ec*input_floor_area_sqft)))
         elif latlong_geo_nolatlong_encoded['propertyType_HDB'].item() == 1:
-            st.success(f'The predicted price of your property is \${prediction_price:,}, with 95% confidence interval at \${int(prediction_price - 2*sd_hdb*input_floor_area_sqft):,} - \${int(prediction_price + 2*sd_hdb*input_floor_area_sqft):,}.')
+            st.success(f'The predicted price of your property is \\${prediction_price:,}, with 95% confidence interval at \\${int(prediction_price - 2*sd_hdb*input_floor_area_sqft):,} - \\${int(prediction_price + 2*sd_hdb*input_floor_area_sqft):,}.')
 
         # between Jan 2017 and Oct 2022, propertyType, age, floor area range, storey
         # use geosubset to have boxplot and folium map