Create app.py

app.py

@@ -0,0 +1,15 @@
+from fastai.vision.all import *
+import timm
+path = untar_data(URLs.PETS)/'images'
+
+dls = ImageDataLoaders.from_name_func('.',
+    get_image_files(path), valid_pct=0.2, seed=42,
+    label_func=RegexLabeller(pat = r'^([^/]+)_\d+'),
+    item_tfms=Resize(224))
+dls.show_batch(max_n=4)
+learn = vision_learner(dls, resnet34, metrics=error_rate)
+learn.fine_tune(3)
+timm.list_models('convnext*')
+learn = vision_learner(dls, 'convnext_tiny_in22k', metrics=error_rate).to_fp16()
+learn.fine_tune(3)
+learn.export('model.pkl')