city

app.py

@@ -85,25 +85,28 @@ 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
 
+    # Show image + mask
     pred_img = np.array(input_img) * 0.5 + color_seg * 0.5
     pred_img = pred_img.astype(np.uint8)
 
-    return pred_img  # Return the segmented image directly
+    fig = draw_plot(pred_img, seg)
+    return fig
 
 demo = gr.Interface(fn=sepia,
-                    inputs=gr.Image(type="pil", label="Upload an Image"),
-                    outputs=gr.Image(type="pil", label="Segmented Image"),
+                    inputs=gr.Textbox(text="Enter text here"),
+                    outputs=['plot'],
                     examples=["img_1.jpg", "img_2.jpeg", "img_3.jpg", "img_4.jpg", "img_5.png"],
                     allow_flagging='never')
 
-demo.launch()
+
+
+demo.launch()