Update app.py

app.py

@@ -88,28 +88,14 @@ def sepia(input_img):
     )  # 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
+    # Assuming each label corresponds to a class
+    class_labels = seg.numpy().flatten().tolist()
 
-    # 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
-
-    from io import BytesIO
-    img_byte_array = BytesIO()
-    pred_img.save(img_byte_array, format='PNG')
-    img_data = img_byte_array.getvalue()
-    img_base64 = base64.b64encode(img_data).decode()
+    return class_labels
 
 demo = gr.Interface(fn=sepia,
                     inputs=gr.Image(shape=(400, 600)),
-                    outputs=['text'],
+                    outputs=gr.outputs.Label(),  # Use Label output type for class labels
                     examples=["cityoutdoor-1.jpg", "cityoutdoor-2.jpg", "cityoutdoor-3.jpg"],
                     allow_flagging='never')