Update app.py

app.py

@@ -77,27 +77,7 @@ with gr.Blocks(css=css) as app:
     with gr.Tabs():
         with gr.TabItem("Image upload and detections visualization"):
             with gr.Row():
-                with gr.Column():
-                    with gr.Row():
-                        img_input = gr.Image(type="pil")
-                    img_input_mask = gr.Image(type="pil", visible=False)
-                    with gr.Row():
-                        example_images = gr.Dataset(
-                            components=[img_input, img_input_mask],
-                            samples=[
-                                [path.as_posix(), path.as_posix().replace("_HE", "_mask")]
-                                for path in sorted(
-                                    pathlib.Path("cd45rb_test_imgs").rglob("*_HE.png")
-                                )
-                            ],
-                            samples_per_page=2,
-                        )
-                    with gr.Row():
-                        with gr.Column():
-                            gr.Markdown(
-                                """The selected image with detected bounding boxes by the model"""
-                            )
-                            img_output_from_upload = gr.Image(shape=(800, 800))
+
                 with gr.Column():
                     with gr.Row():
                         experiment_type = gr.Dropdown(
@@ -182,6 +162,29 @@ with gr.Blocks(css=css) as app:
                     with gr.Row():
                         detect_button = gr.Button("Detect leukocytes")
 
+                with gr.Column():
+                    with gr.Row():
+                        img_input = gr.Image(type="pil")
+                    img_input_mask = gr.Image(type="pil", visible=False)
+                    with gr.Row():
+                        example_images = gr.Dataset(
+                            components=[img_input, img_input_mask],
+                            samples=[
+                                [path.as_posix(), path.as_posix().replace("_HE", "_mask")]
+                                for path in sorted(
+                                    pathlib.Path("cd45rb_test_imgs").rglob("*_HE.png")
+                                )
+                            ],
+                            samples_per_page=2,
+                        )
+                    with gr.Row():
+                        with gr.Column():
+                            gr.Markdown(
+                                """The selected image with detected bounding boxes by the model"""
+                            )
+                            img_output_from_upload = gr.Image(shape=(800, 800))
+
+        
         with gr.TabItem("Attentions visualization"):
             gr.Markdown("""Encoder attentions""")
             with gr.Row():