update app.py

app.py

@@ -129,7 +129,7 @@ with gr.Blocks(title="Brain tumor 3D segmentation with MONAIMNIST - ClassCat",
 
     gr.HTML("""<div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">Brain tumor 3D segmentation with MONAI</div>""")
 
-    gr.HTML("""<h4 style="color:navy;">1. Select an example, which includes input images and label images.</h4>""")
+    gr.HTML("""<h4 style="color:navy;">1. Select an example, which includes input images and label images, by clicking "Example x" button.</h4>""")
 
     with gr.Row():
         input_image0 = gr.Image(label="image channel 0", type="pil", shape=(240, 240))
@@ -179,16 +179,14 @@ with gr.Blocks(title="Brain tumor 3D segmentation with MONAIMNIST - ClassCat",
                            outputs=[sample_index, input_image0, input_image1, input_image2, input_image3,
                                     label_image0, label_image1, label_image2])
 
+    gr.HTML("""<p><h4>2. Then, click "Infer" button to predict segmentation images. It will take about 30 seconds (on cpu)</h4>""")
+
     with gr.Row():
         output_image0 = gr.Image(label="output channel 0", type="pil")
         output_image1 = gr.Image(label="output channel 1", type="pil")
         output_image2 = gr.Image(label="output channel 2", type="pil")
-
-    #output_label=gr.Label(label="予測確率", num_top_classes=3)
     
-    send_btn = gr.Button("予測する")
-
-    #gr.Examples(['2.png', '4.png'], inputs=input_image2)
+    send_btn = gr.Button("Infer")
 
     send_btn.click(fn=predict, inputs=[sample_index], outputs=[output_image0, output_image1, output_image2])