Update app.py

app.py

@@ -229,6 +229,9 @@ with gr.Blocks(fill_width=True) as demo:
                                           info="This value sets a threshold by which texts classified flood or fire are accepted, \
                                               higher values makes the classifier stricter (CAUTION: A value of 1 will set all predictions as none)", interactive=True)                
                     T_predict_button = gr.Button("Start Prediction")
+
+            gr.Examples([["./samples.tsv", "tweet_content", "jayebaku/XLMRoberta-twitter-crexdata-flood-wildfire-detector", 0.95], 
+                        inputs=[T_file_input, T_text_field, T_event_model, T_threshold])
                     
         gr.Markdown("""Select an ID cell in dataframe to view Embedded tweet""")
         T_tweetID = gr.Textbox(visible=False)