Update app.py

app.py

@@ -28,13 +28,16 @@ def air_quality(city):
         print(weather_df)
         
     weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax","precipprob", "snow", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
-	    
+	X = feature_view.get_batch_data(start_time=start_time)
+
+    X = X.drop(columns=["date"]).fillna(0)
+
     mr = project.get_model_registry()
     model = mr.get_model("gradient_boost_paris_model", version=1)
     model_dir = model.download()
     model = joblib.load(model_dir + "/model.pkl")
 	    
-    preds = model.predict(weather_df)
+    preds = model.predict(X)
 	
     predictions = ''
     for k in range(7):