Update app.py

app.py

@@ -23,12 +23,10 @@ def air_quality(city):
         
     weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax", "precipprob", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
 	    
-    model = get_model(project=project,
-                  model_name="gradient_boost_model",
-                  evaluation_metric="f1_score",
-                  sort_metrics_by="max"
-)
-    
+    mr = project.get_model_registry()
+    model = mr.get_model("gradient_boost_model", version=2)
+    model_dir = model.download()
+    model = joblib.load(model_dir + "/model.pkl")
 	    
     preds = model.predict(weather_df)