Update app.py

app.py

@@ -59,11 +59,11 @@ st.write("-" * 36)
 
 
 preds = model.predict(df_weather_use_1).astype(int)
-poll_level = get_aplevel(preds.T.reshape(-1, 1))
+pollution_level = get_aplevel(preds.T.reshape(-1, 1))
 
 next_week = [f"{(today + timedelta(days=d)).strftime('%Y-%m-%d')},{(today + timedelta(days=d)).strftime('%A')}" for d in range(8)]
 
-df = pd.DataFrame(data=[preds, poll_level], index=["AQI", "Air pollution level"], columns=next_week)
+df = pd.DataFrame(data=[preds, pollution_level], index=["AQI", "Air pollution level"], columns=next_week)
 
 
 st.write(df)