change description

app.py

@@ -10,26 +10,17 @@ from PIL import Image
 from utils.models import load_models, CHECKPOINT_NAMES, MODE_NAMES, \
     MASK_GENERATION_MODE, BOX_PROMPT_MODE
 
+# TODO add presentation on YouTube and add link here
 MARKDOWN = """
-# Segment Anything Model 2 🔥
+# DoUnseen 🔥
 <div>
-    <a href="https://github.com/facebookresearch/segment-anything-2">
+    <a href="https://github.com/AnasIbrahim/image_agnostic_segmentation">
         <img src="https://badges.aleen42.com/src/github.svg" alt="GitHub" style="display:inline-block;">
     </a>
-    <a href="https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-images-with-sam-2.ipynb">
-        <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Colab" style="display:inline-block;">
-    </a>
-    <a href="https://blog.roboflow.com/what-is-segment-anything-2/">
-        <img src="https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/roboflow-blogpost.svg" alt="Roboflow" style="display:inline-block;">
-    </a>
-    <a href="https://www.youtube.com/watch?v=Dv003fTyO-Y">
-        <img src="https://badges.aleen42.com/src/youtube.svg" alt="YouTube" style="display:inline-block;">
-    </a>
 </div>
 
-Segment Anything Model 2 (SAM 2) is a foundation model designed to address promptable 
-visual segmentation in both images and videos. **Video segmentation will be available 
-soon.**
+DoUnseen is a python package for segmenting unseen objects.
+It can be used as an extention to Segment-Anything Model (SAM) or used as a standalone to identify unseen objects.
 """
 EXAMPLES = [
     ["tiny", 0.5,