Update app.py

app.py

@@ -8,9 +8,6 @@ import cv2
 from detectron2.config import get_cfg
 from utils import add_bboxes
 
-# print(torch.__version__, torch.cuda.is_available())
-# assert torch.__version__.startswith("1.9") 
-
 config_file="config.yaml"
 cfg = get_cfg()
 cfg.merge_from_file(config_file)
@@ -37,7 +34,7 @@ def predict(
     return img
 
 title = "Indoor Pet Detection"
-description = "This is an application trained with synthetic data from Unity Computer Vision. We trained a single class object detection model to recognize dogs using images of pets randomly posed and placed in our home interior environment. There are multiple pre-trained models trained with 5k, 40k and 100k synthetic data that you can choose to see the results."
+description = "This is an application trained with synthetic data from Unity Computer Vision. We trained a single class object detection model to recognize dogs using images of pets randomly posed and placed in our home interior environment. There are multiple pre-trained models trained with 5k, 40k and 100k synthetic data that you can choose to see the results. <p> <a href='https://github.com/Unity-Technologies/Indoor-Pet-Detection'> Github Project </a> </p>"
 examples = [
     ["5k synthetic", 'example.jpg'],
     ["40k synthetic", 'example.jpg'],