update description

app.py

@@ -7,6 +7,14 @@ from utils import VisualizeAttentionMaps
 from utils.transform_utils import make_test_transforms
 
 st.title("PdiscoFormer Part Discovery Visualizer")
+# Instructions
+st.write("First of all choose a model from the dropdown list."
+         "If you choose to upload an image, the part assignment will be visualized. "
+         "The model is trained to discover parts of the salient objects in the image depending on the training dataset.")
+st.write("If you choose one of the CUB or NABirds models, please choose a bird image.")
+st.write("If you choose one of the Flower models, please choose a flower image.")
+st.write("If you choose one of the PartImageNet models, please choose an image of classes from PartImageNet like land animals/birds/cars/bottles/airplanes.")
+
 model_options = ["ananthu-aniraj/pdiscoformer_cub_k_8", "ananthu-aniraj/pdiscoformer_cub_k_16",
                  "ananthu-aniraj/pdiscoformer_cub_k_4", "ananthu-aniraj/pdiscoformer_part_imagenet_ood_k_8",
                  "ananthu-aniraj/pdiscoformer_part_imagenet_ood_k_25",
@@ -31,12 +39,6 @@ if model_name is not None:
     amap_vis = VisualizeAttentionMaps(num_parts=num_parts + 1, bg_label=num_parts)
     test_transforms = make_test_transforms(image_size)
 
-    # Instructions
-    st.write("If you choose to upload an image, the part assignment will be visualized. "
-             "The model is trained to discover parts of the salient objects in the image depending on the training dataset.")
-    st.write("If you choose one of the CUB or NABirds models, please choose a bird image.")
-    st.write("If you choose one of the Flower models, please choose a flower image.")
-    st.write("If you choose one of the PartImageNet models, please choose an image of classes from PartImageNet like land animals/birds/cars/bottles/airplanes.")
 
     image_name = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])  # Upload an image
     if image_name is not None: