Add Gradio interface and model loading code

app.py

@@ -1,8 +1,32 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo.launch()
+__all__ = ['label_func', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Cell
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def label_func(x):
+    return "dog" if x[0].islower() else "cat"
+# Cell
+learn = load_learner('model.pkl')
+
+# Cell
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog1.jpeg', 'dog2.jpeg', 'dog3.jpeg']
 
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f55c963959fd63d56d9aaf56cc5bb08ebef0f846fa3f48731af32870ce1529f1
+size 87559046