type

app.py

@@ -23,6 +23,10 @@ df = pd.read_csv(csv_path)
 
 title = "Timeseries forecasting for weather prediction"
 
+st.title('Timeseries forecasting for weather prediction')
+
+st.write("Demonstrates how to do timeseries forecasting using a [LSTM model.](https://keras.io/api/layers/recurrent_layers/lstm/#lstm-class)")
+st.write("Keras example authors: [Prabhanshu Attri, Yashika Sharma, Kristi Takach, Falak Shah](https://keras.io/examples/timeseries/timeseries_weather_forecasting/)")
 
 
 # %% model 
@@ -187,8 +191,4 @@ def plot():
 fig = plot()
 st.pyplot(fig)
 
-# %%
-st.title('Timeseries forecasting for weather prediction')
-
-st.write("Demonstrates how to do timeseries forecasting using a [LSTM model.](https://keras.io/api/layers/recurrent_layers/lstm/#lstm-class)")
-st.write("Keras example authors: [Prabhanshu Attri, Yashika Sharma, Kristi Takach, Falak Shah](https://keras.io/examples/timeseries/timeseries_weather_forecasting/)")
+# %%