info

app.py

@@ -208,8 +208,8 @@ def inference(image):
     im = np.array(image)
     output = LOADED_MODEL(tf.cast(im, tf.uint8))
     return vis_segmentation(im, output['panoptic_pred'][0], DATASET_INFO)
-title = "Deeplab2"
-description = "demo for Deeplab2. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+title = "Deeplab2 - Max Deeplab L"
+description = "demo for Deeplab2. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below.\nModel: max_deeplab_l_backbone_os16_axial_deeplab_cityscapes_trainfine_saved_model"
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2106.09748'>DeepLab2: A TensorFlow Library for Deep Labeling</a> | <a href='https://github.com/google-research/deeplab2'>Github Repo</a></p>"
 gr.Interface(
     inference,