city

app.py

@@ -70,7 +70,7 @@ def draw_plot(pred_img, seg):
     ax = plt.subplot(grid_spec[1])
     plt.imshow(FULL_COLOR_MAP[unique_labels].astype(np.uint8), interpolation="nearest")
     ax.yaxis.tick_right()
-    plt.yticks(range(len unique_labels), LABEL_NAMES[unique_labels]),
+    plt.yticks(range(len(unique_labels)), LABEL_NAMES[unique_labels])
     plt.xticks([], [])
     ax.tick_params(width=0.0, labelsize=25)
     return fig
@@ -83,11 +83,14 @@ def sepia(input_img):
     logits = outputs.logits
 
     logits = tf.transpose(logits, [0, 2, 3, 1])
-    input_img_size = input_img.size[::-1]
-    logits = tf.image.resize(logits, input_img_size)
+    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)
+    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
 
@@ -99,9 +102,10 @@ def sepia(input_img):
     return fig
 
 demo = gr.Interface(fn=sepia,
-                    inputs=gr.Image(type="pil", label="Upload an Image"),
-                    outputs="plot",
+                    inputs=gr.Image(shape=(400, 600)),
+                    outputs=['plot'],
                     examples=["img_1.jpg", "img_2.jpeg", "img_3.jpg", "img_4.jpg", "img_5.png"],
                     allow_flagging='never')
 
+
 demo.launch()