Update to the footer

.gitignore

@@ -1,2 +1,3 @@
 **/.DS_Store
-gradio_cached_examples
+gradio_cached_examples
+__pycache__

app.py

@@ -12,7 +12,7 @@ import json
 DL4EO_API_URL = "https://dl4eo--ship-predict.modal.run"
 
 # Auth Token to access API
-DL4EO_API_KEY = os.environ['DL4EO_API_KEY']
+DL4EO_API_KEY = 'dprY8HYkE9iXeCS4JnGjch5B' #os.environ['DL4EO_API_KEY']
 
 # width of the boxes on image
 LINE_WIDTH = 2
@@ -128,14 +128,12 @@ with demo:
 
     gr.Markdown("""
                 <p>This demo is provided by <a href='https://www.linkedin.com/in/faudi/'>Jeff Faudi</a> and <a href='https://www.dl4eo.com/'>DL4EO</a>. 
-                This model is based on the <a href='https://github.com/open-mmlab/mmrotate'>MMRotate framework</a> which provides oriented bounding boxes. 
-                We believe that oriented bouding boxes are better suited for detection in satellite images. This model has been trained on the 
-                <a href='https://captain-whu.github.io/DOTA/dataset.html'>DOTA dataset</a> which contains 15 classes: plane, ship, storage tank, 
-                baseball diamond, tennis court, basketball court, ground track field, harbor, bridge, large vehicle, small vehicle, helicopter, 
-                roundabout, soccer ball field and swimming pool. </p><p>The associated licenses are 
-                <a href='https://about.google/brand-resource-center/products-and-services/geo-guidelines/#google-earth-web-and-apps'>GoogleEarth fair use</a> 
-                and <a href='https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en'>CC-BY-SA-NC</a>. This demonstration CANNOT be used for commercial puposes. 
-                Please contact <a href='mailto:jeff@dl4eo.com'>me</a> for more information on how you could get access to a commercial grade model or API. </p>
+                This model is based on the <a href='https://www.ultralytics.com/yolo'>Ultralytics YOLOv8-OBB</a> framework which provides oriented bounding boxes. 
+                We believe that oriented bouding boxes are better suited for detection of ships in satellite images. This model has been trained on the 
+                <a href='https://www.kaggle.com/c/airbus-ship-detection/data'>Airbus Ship Detection dataset</a> available on Kaggle which provide SPOT extracts at 1.5 m. 
+                provided by Airbus DS. The associated license is <a href='https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en'>CC-BY-SA-NC</a>.</p>
+                <p>This demonstration CANNOT be used for commercial puposes. Please contact <a href='mailto:jeff@dl4eo.com'>me</a> for more information on 
+                how you could get access to a commercial grade model or API. </p>
                 """)
 
 demo.launch(