Update app.py

app.py

@@ -20,12 +20,13 @@ def air_quality(city):
     for i in range(8):
         weather_data = get_weather_df([get_weather_data((datetime.now() + timedelta(days=i)).strftime("%Y-%m-%d"))])
         weather_df = weather_df.append(weather_data)
+
         print(weather_df)
         
-    #weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax", "precipprob", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
+    weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax","precipprob", "snow", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
 	    
     mr = project.get_model_registry()
-    model = mr.get_model("gradient_boost_model", version=2)
+    model = mr.get_model("gradient_boost_paris_model", version=1)
     model_dir = model.download()
     model = joblib.load(model_dir + "/model.pkl")