Update app.py

app.py

@@ -28,6 +28,9 @@ def air_quality(city):
         print(weather_df)
         
     weather_df = weather_df.drop(columns=["feelslikemin", "feelslikemax","precipprob", "snow", "snowdepth", "uvindex", "date","city","conditions"]).fillna(0)
+
+    start_date = datetime.now() - timedelta(days=1)
+    start_time = int(start_date.timestamp()) * 1000
 	X = feature_view.get_batch_data(start_time=start_time)
 
     X = X.drop(columns=["date"]).fillna(0)
@@ -39,12 +42,12 @@ def air_quality(city):
 	    
     preds = model.predict(X)
 	
-    predictions = ''
+    """predictions = ''
     for k in range(7):
         predictions += "Predicted AQI on  " + (datetime.now() + timedelta(days=k)).strftime('%Y-%m-%d') + ":      " + str(int(preds[k]))+"\n"
 	        
-        print(predictions)
-    return predictions
+        print(predictions)"""
+    return preds
 	
     
 demo = gr.Interface(fn=air_quality, title="Air quality predictor",