Upload app.py

app.py

@@ -4,7 +4,7 @@ from huggingface_hub import from_pretrained_fastai
 from lime import lime_image
 from skimage.segmentation import mark_boundaries
 
-learn = from_pretrained_fastai('mindwrapped/pokemon-card-checker')
+learn = from_pretrained_fastai('hugginglearners/pokemon-card-checker')
 
 def check_card(img):
     pred_label, _, scores = learn.predict(img)
@@ -48,7 +48,7 @@ demo = gr.Interface(
   examples=['real-1.jpeg','real-2.jpeg','fake-1.jpeg','fake-2.jpeg','real-3.jpeg','real-4.jpeg','fake-3.jpeg','fake-4.jpeg'],
   title='Pokemon Card Checker',
   description='This space uses a resnet34 model fine-tuned to determine whether Pokemon cards are real or fake. \n\nAdded [LIME](https://github.com/marcotcr/lime) to show what contributed to the predicted label (green shows what contributed towards that label and red shows what contributed against the label predicted).\n\n[Dataset](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards) created by [Shujian Ong](https://www.kaggle.com/ongshujian).',
-  article='Can you guess which cards are real and fake? \n\nI can\'t 🤔 \n\n([View Labels](https://gist.github.com/mindwrapped/e5aad747757ef006037a1a1982be34fc)) \n\nFeel free to like if you like it. \n\n![visitor badge](https://visitor-badge.glitch.me/badge?page_id=mindwrapped.pokemon-card-checker-space)',
+  article='Can you guess which cards are real and fake? \n\nI can\'t 🤔 \n\n([View Labels](https://gist.github.com/mindwrapped/e5aad747757ef006037a1a1982be34fc)) \n\nSpace and model by Scott Krstyen (mindwrapped) \n\n![visitor badge](https://visitor-badge.glitch.me/badge?page_id=mindwrapped.pokemon-card-checker-space)',
   live=False,
   )