Update app.py

app.py

@@ -68,9 +68,19 @@ with gr.Blocks() as demo:
                 gr.Markdown("""### None""")
                 none_checkbox_output = gr.CheckboxGroup(label="Select ONLY incorrect classifications", interactive=True) 
 
-        model_confidence = gr.Number(label="Model Confidence")
+        # model_confidence = gr.Number(label="Model Confidence")
         predict_button.click(load_and_analyze_csv, inputs=[file_input, text_field, event_model], 
-                             outputs=[flood_checkbox_output, fire_checkbox_output, none_checkbox_output, model_confidence])           
+                             outputs=[flood_checkbox_output, fire_checkbox_output, none_checkbox_output, model_confidence])
+
+        gr.Markdown(r"""
+        Accuracy: is the model's ability to make correct predicitons.
+        It is the fraction of correct prediction out of the total predictions.
+        $$
+        \text{Accuracy} = \frac{\text{Correct predictions}}{\text{All predictions}} * 100
+        $$
+        Model Confidence: is the mean probabilty of each case 
+        belonging to their assigned classes. A value of 1 is best.
+        """, latex_delimiters=[{ "left": "$$", "right": "$$", "display": True }])
                 
     with gr.Tab("Question Answering"):
         # XXX Add some button disabling here, if the classification process is not completed first XXX