lets try this again

.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
+*.jpeg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../Loading model.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../Loading model.ipynb 4
+from fastai.vision.all import *
+
+# %% ../Loading model.ipynb 5
+import gradio as gr
+
+# %% ../Loading model.ipynb 6
+def is_cat(x): return x[0].isupper() 
+
+# %% ../Loading model.ipynb 7
+learn = load_learner('model.pkl')
+
+# %% ../Loading model.ipynb 17
+categories = ('Is not a cat', 'Is a cat')
+
+def classify_image(img):
+    pref,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../Loading model.ipynb 24
+image = gr.inputs.Image(shape=(196,196))
+label = gr.outputs.Label()
+examples = ['cat.jpeg', 'dog.jpeg', 'cow.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+#inline = false just tells gradio not to display the website here
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5082d902257b643c477d89b8ba3e8e2597dcc42351b1a9ce4f0caf4535134d86
+size 47061355