fix: Sample files missing

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+sample/*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,24 +1,24 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: dog-or-cat.ipynb.
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../course22/vikas/dog-or-cat.ipynb.
 
 # %% auto 0
 __all__ = ['learner', 'categories', 'example_imgs_path', 'img', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
 
-# %% dog-or-cat.ipynb 2
+# %% ../course22/vikas/dog-or-cat.ipynb 2
 # Imports
 from fastai.vision.all import PILImage
 from fastai.vision.all import load_learner
 from pathlib import Path
 import gradio as gr
 
-# %% dog-or-cat.ipynb 4
+# %% ../course22/vikas/dog-or-cat.ipynb 4
 # Function to check if it is a cat
 def is_cat(x): return x[0].isupper()
 
-# %% dog-or-cat.ipynb 6
+# %% ../course22/vikas/dog-or-cat.ipynb 6
 # Load the trained model
 learner = load_learner(fname="./dog_or_cat.pkl")
 
-# %% dog-or-cat.ipynb 8
+# %% ../course22/vikas/dog-or-cat.ipynb 8
 categories = ("Cat", "Dog")
 
 def classify_image(img):
@@ -26,8 +26,8 @@ def classify_image(img):
     print(pred, idx)
     return dict(zip(categories, map(float, probs)))
 
-# %% dog-or-cat.ipynb 10
-example_imgs_path = Path("../data/test_images/examples")
+# %% ../course22/vikas/dog-or-cat.ipynb 10
+example_imgs_path = Path("../sample")
 img = gr.Image()
 label = gr.Label()
 examples = [