Added file.

app.py

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+from fastai.vision.all import *
+path = untar_data(URLs.PETS)/'images'
+def is_cat(x): return x[0].isupper() 
+dls = ImageDataLoaders.from_name_func('.',
+    get_image_files(path), valid_pct=0.2, seed=42,
+    label_func=is_cat,
+    item_tfms=Resize(192))
+
+learn = vision_learner(dls, resnet18, metrics=error_rate)
+learn.fine_tune(3)
+
+learn.export('model.pkl')
+
+im = PILImage.create('dog.jpg')
+im.thumbnail((192,192))
+im
+
+learn = load_learner('model.pkl')
+
+learn.predict(im)
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs=learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+classify_image(im)
+
+import gradio as gr
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpeg', 'raccoon.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
+intf.launch(inline=False)