Update app.py

app.py

@@ -51,7 +51,7 @@ st.sidebar.write("-" * 36)
 preds = model.predict(data_encoder(weekly_data)).astype(int)
 poll_level = get_aplevel(preds.T.reshape(-1, 1))
 
-next_week = [[(today + timedelta(days=d)).strftime('%Y-%m-%d'), (today + timedelta(days=d)).strftime('%A')] for d in range(7)]
+next_week = [f"{(today + timedelta(days=d)).strftime('%Y-%m-%d')}, {(today + timedelta(days=d)).strftime('%A')}" for d in range(7)]
 
 df = pd.DataFrame(data=[preds, poll_level], index=["AQI", "Air pollution level"], columns=next_week)