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.gitattributes

@@ -32,3 +32,4 @@ 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
+dog.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,27 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 10
+!pip install -q gradio
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 12
+learn = load_learner('pets.pkl')
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 14
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+classify_image(im)
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 15
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

pets.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86e85227fa293cf98739dc3643f912de639fd70347a01e544dab8d7c43349854
+size 102978534