add new annotation

app.py

@@ -39,7 +39,7 @@ with gr.Blocks() as demo:
                 single_cutoff = gr.Slider(0, 1, step=0.1, value=0.5, interactive=True, label="Threshold")
                 text_button = gr.Button("Submit")
             with gr.Column(scale=2):
-                gr.Markdown("Note: the larger the probability score of neuropeptide output, the more likely it is to belong to neuropeptide. Generally, result greater than the threshold (default:0.5) is considered to belong to neuropeptides.")
+                gr.Markdown("Note: the output scores indicates the probability scores of the input sequence to be predicted as a neuropeptide or a non-neuropeptide.")
                 text_output = gr.outputs.Label(num_top_classes=2, label='Output')
     with gr.Tab("Batch Model"):
         with gr.Row():
@@ -56,7 +56,7 @@ with gr.Blocks() as demo:
                 image_button = gr.Button("Submit")
         with gr.Column():
             # gr.Markdown(" ### Flip text or image files using this demo.")
-            gr.Markdown("Note: the larger the probability score of neuropeptide output, the more likely it is to belong to neuropeptide. Generally, result greater than the threshold (default:0.5) is considered to belong to neuropeptides.")
+            gr.Markdown("Note: the output scores indicates the probability scores of the input sequence to be predicted as a neuropeptide or a non-neuropeptide.")
             frame_output = gr.DataFrame(headers=["Sequence Id", "Sequence", "Probability of neuropeptides", "Neuropeptide"],
             datatype=["str", "str", "str", 'str'],)