Upload app.py

app.py

@@ -123,35 +123,35 @@ with gr.Blocks(title="Cityscapes Segmentation") as demo:
         "**Backbone LR:** 6e-5 · **Loss:** 0.7 CE + 0.3 Dice"
     )
 
-with gr.Tab("Try it yourself"):
-
-    # ── Row 1: Upload left, Output right ───────────────────────
-    with gr.Row():
-        with gr.Column(scale=1):
-            input_img = gr.Image(type="pil", label="Upload a street image")
-            run_btn   = gr.Button("Run segmentation ▶", variant="primary")
-
-        with gr.Column(scale=1):
-            out_mask = gr.Image(label="Prediction mask",
-                                interactive=False,
-                                height=512)
-
-    # ── Row 2: Examples under the button ───────────────────────
-    with gr.Row():
-        gr.Examples(
-            examples=EXAMPLES,
-            inputs=input_img,
-            outputs=[out_mask],
-            fn=run_inference,
-            cache_examples=False,
-        )
-
-    gr.Image(value=legend_img, label="Colour legend — 19 Cityscapes classes",
-             interactive=False)
-
-    run_btn.click(fn=run_inference,
-                  inputs=input_img,
-                  outputs=[out_mask])
+    with gr.Tab("Try it yourself"):
+
+        # ── Row 1: Upload left, Output right ───────────────────────
+        with gr.Row():
+            with gr.Column(scale=1):
+                input_img = gr.Image(type="pil", label="Upload a street image")
+                run_btn   = gr.Button("Run segmentation ▶", variant="primary")
+
+            with gr.Column(scale=1):
+                out_mask = gr.Image(label="Prediction mask",
+                                    interactive=False,
+                                    height=512)
+
+        # ── Row 2: Examples under the button ───────────────────────
+        with gr.Row():
+            gr.Examples(
+                examples=EXAMPLES,
+                inputs=input_img,
+                outputs=[out_mask],
+                fn=run_inference,
+                cache_examples=False,
+            )
+
+        gr.Image(value=legend_img, label="Colour legend — 19 Cityscapes classes",
+                interactive=False)
+
+        run_btn.click(fn=run_inference,
+                    inputs=input_img,
+                    outputs=[out_mask])
 
     # ── Tab 2: Dataset results gallery ────────────────────────────
     with gr.Tab("Dataset results"):