Initial commit; trying to get all the binary files up there

.gitattributes

@@ -31,3 +31,4 @@ 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
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,27 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: Lesson02.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'title', 'description', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% Lesson02.ipynb 14
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('black', 'grizzly', 'panda', 'sloth', 'teddy')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+title = "Bear discriminator"
+description = "Identify different types of bears with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['grizzly.jpg', 'black.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, 
+                    title=title, description=description)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54cc6d88bec8566cda81645a7fa16b7e00bf72e531b4b062fbaad68ab763f748
+size 46976929

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image