Update app.py

app.py

@@ -18,6 +18,9 @@ def filter_data(dataset_name='', name_x='', name_y='', start_date=''):
     return filtered_df
 
 
+title = "T20i Score Prediction"
+description = "Predict the score of a T20i match."
+
 # Define the input components for the Gradio interface
 dataset_selector = gr.Dropdown(choices=list(datasets.keys()), label='Select Dataset')
 name_x_filter = gr.Textbox(label='Player Name', placeholder='eg. Virat Kohli')
@@ -25,7 +28,7 @@ name_y_filter = gr.Textbox(label='Match Detail', placeholder='eg. India v Austra
 start_date_filter = gr.Textbox(label='Match Date', placeholder='eg. 2015-10-13')
 
 # Create the Gradio interface
-iface = gr.Interface(fn=filter_data, inputs=[dataset_selector, name_x_filter, name_y_filter, start_date_filter], outputs='dataframe')
+iface = gr.Interface(fn=filter_data, inputs=[dataset_selector, name_x_filter, name_y_filter, start_date_filter], outputs='dataframe', title=title, description=description,)
 
 # Launch the interface
 iface.launch()