Add application file

app.py

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+from fast.ai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('Black Widow','Captain America' 'Hawkeye', 'Hulk', 'Iron man', 'Thor')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['black_widow.jpg', 'hulk.jpg', 'iron_man.jfif']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:daf71057c879f1c3860ff71c11c1b78ebd20a51b2c79fa338d44b3a106dab2d3
+size 46995809

requirements.txt

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+fastai