gsheet

app.py

@@ -189,7 +189,8 @@ with st.form("inputs"):
 
             fig, ax = plt.subplots()
             sns.swarmplot(x=['']*len(geosubset), y=geosubset['resale_pri'], orient='v', ax=ax, hue=geosubset['transactDa'].dt.year, alpha=0.75)
-            plt.scatter(0, prediction_price, color='orange', s=100, marker='x')
+            plt.scatter(0, prediction_price, color='black')
+            plt.legend(loc='upper left')
             plt.text(0.05, prediction_price, 'Your predicted property price')
             plt.ylabel('Resale Price ($)')
             plt.title('Swarmplot of nearby similar properties')
@@ -308,8 +309,9 @@ with st.form("inputs"):
          "https://www.googleapis.com/auth/drive"]
 
     
-        credentials = ServiceAccountCredentials.from_json_keyfile_dict(loaded_r, scope)
+        credentials = ServiceAccountCredentials.from_json_keyfile_dict(keydict, scope)
         client = gspread.authorize(credentials)
 
         sheet = client.open("PropertyPricePredictor_Sheet").sheet1
         sheet.append_row([datetime.now().strftime('%Y-%m-%d %H:%M:%S'), int(input_postal),input_storey,input_age_asof_transaction,input_floor_area_sqft,input_propertyType])
+        st.markdown(f'_Number of searches till date: {len(sheet.get_values('A:A'))-1}_')