Update app.py

app.py

@@ -21,12 +21,12 @@ def air_quality(city):
         weather_data = get_weather_df([get_weather_data((datetime.now() + timedelta(days=i)).strftime("%Y-%m-%d"))])
         weather_df = weather_df.append(weather_data)
         
-    weather_df = weather_df.drop(columns=["precipprob", "uvindex", "date","city","conditions"]).fillna(0)
+    weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax", "precipprob", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
 	    
     mr = project.get_model_registry()
-    model = mr.get_model("lond_gradient_boost_model", version=1)
+    model = mr.get_model("hel_gradient_boost_model", version=1)
     model_dir = model.download()
-    model = joblib.load(model_dir + "/lond_model.pkl")
+    model = joblib.load(model_dir + "/hel_model.pkl")
 	    
     preds = model.predict(weather_df)
 	
@@ -39,7 +39,7 @@ def air_quality(city):
 	
     
 demo = gr.Interface(fn=air_quality, title="Air quality predictor",
-description="Input a value to get next weeks AQI prediction for London", inputs="text", outputs="text")
+description="Input a value to get next weeks AQI prediction for Helsinki", inputs="text", outputs="text")