Update app.py

app.py

@@ -82,24 +82,27 @@ def sepia(input_img):
     logits = tf.transpose(logits, [0, 2, 3, 1])
     logits = tf.image.resize(
         logits, input_img.size[::-1]
-    )
+    )  # We reverse the shape of `image` because `image.size` returns width and height.
     seg = tf.math.argmax(logits, axis=-1)[0]
 
     color_seg = np.zeros(
         (seg.shape[0], seg.shape[1], 3), dtype=np.uint8
-    )
+    )  # height, width, 3
     for label, color in enumerate(colormap):
         color_seg[seg.numpy() == label, :] = color
 
-    # Return segmentation label image instead of Matplotlib Figure
-    return color_seg
+    # Show image + mask
+    pred_img = np.array(input_img) * 0.5 + color_seg * 0.5
+    pred_img = pred_img.astype(np.uint8)
+
+    fig = draw_plot(pred_img, seg)
+    return fig
 
-# Gradio Interface 설정
 demo = gr.Interface(fn=sepia,
                     inputs=gr.Image(shape=(800, 600)),
-                    outputs=['label'],  # 'plot'에서 'label'로 변경
+                    outputs=['plot'],
                     examples=["cityoutdoor-1.jpg", "cityoutdoor-2.jpg", "cityoutdoor-3.jpg"],
                     allow_flagging='never')
 
-# Gradio 실행
+
 demo.launch()