type

app.py

@@ -150,7 +150,7 @@ dataset_val = keras.preprocessing.timeseries_dataset_from_array(
 #%%
 model = from_pretrained_keras("keras-io/timeseries_forecasting_for_weather")
 
-#%% please don't code shaming me :/
+#%% 
 st.set_option('deprecation.showPyplotGlobalUse', False)
 def plot():
     n = st.sidebar.slider("Step", min_value = 1, max_value=5, value = 1)
@@ -188,3 +188,5 @@ fig = plot()
 st.pyplot(fig)
 
 # %%
+title = "Timeseries forecasting for weather prediction"
+description = "Demonstrates how to do timeseries forecasting using a <a href=\"https://keras.io/api/layers/recurrent_layers/lstm/#lstm-class.\">LTSM Model</a> <p><b>Space author: Harshavardhan</b> <br><b> Keras example author: <a href=\"https://keras.io/examples/timeseries/timeseries_weather_forecasting/\"> Prabhanshu Attri, Yashika Sharma, Kristi Takach, Falak Shah </a> </b> <br> <a href=\"https://keras.io/examples/timeseries/timeseries_weather_forecasting/\">Keras example</a> </p>"