Added application files.

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learner_inf = load_learner('model.pkl')
+
+labels = learner_inf.dls.vocab
+
+def predict(img):
+  img = PILImage.create(img)
+  pred,pred_idx,probs = learner_inf.predict(img)
+  return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Cat vs. Dog Classifier"
+description = "A Cat/Dog Classfier trained on random images obtained from DuckDuckGo. Used as a demo for Gradio + HuggingFace."
+interpretation='default'
+
+gr.Interface(
+  fn=predict, inputs=gr.inputs.Image(shape=(512, 512)),
+  outputs=gr.outputs.Label(num_top_classes=2),
+  title=title,
+  description=description,
+  interpretation=interpretation
+).launch()
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:64431f34ed401fcaa10b405d606cee11cef268358ce945a1a98d0371d73a3724
+size 46963361

requirements.txt

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+fastai
+scikit-image