Update app.py

app.py

@@ -123,7 +123,7 @@ def get_haversine_distance(lat1, lng1, lat2, lng2):
 
 
 # User input features
-def user_input_features(lon_from, lat_from, lon_to, lat_to, passenger_count, temperature):    
+def user_input_features(lon_from, lat_from, lon_to, lat_to, passenger_count):    
     current_time = datetime.now()    
     pickup_hour= current_time.hour
     today = datetime.today()
@@ -145,7 +145,7 @@ def user_input_features(lon_from, lat_from, lon_to, lat_to, passenger_count, tem
             'total_travel_time': total_travel_time,
             'number_of_steps': number_of_steps,
             'haversine_distance': haversine_distance,
-            'temperature': temperature,
+            'temperature': 15,
             'pickup_day_of_week_1': 1 if weekday_number == 1 else 0,
             'pickup_day_of_week_2': 1 if weekday_number == 2 else 0,
             'pickup_day_of_week_3': 1 if weekday_number == 3 else 0,
@@ -180,14 +180,14 @@ def main():
     address_from = st.sidebar.text_input("Откуда:", value="New York, 11 Wall Street")
     address_to = st.sidebar.text_input("Куда:", value="New York, 740 Park Avenue")    
     passenger_count = st.sidebar.slider("Количество пассажиров", 1, 4, 1)
-    temperature = st.sidebar.slider("Temperature (C)", -20, 40, 15)
+    
     st.session_state['btn_predict'] = st.sidebar.button('Start')
 
     if st.session_state['btn_predict']:
         lon_from, lat_from = get_coordinates(address_from)
         lon_to, lat_to = get_coordinates(address_to)
         st.plotly_chart(show_map(lon_from, lat_from, lon_to, lat_to))
-        user_data = user_input_features(lon_from, lat_from, lon_to, lat_to, passenger_count, temperature)
+        user_data = user_input_features(lon_from, lat_from, lon_to, lat_to, passenger_count)
         # st.write(user_data)
         data_scaled = min_max_scaler(user_data)
         trip_duration = np.exp(make_prediction(data_scaled)) - 1