Added application file and pickle file

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('cat_dog_model.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+gr.Interface(fn=predict, inputs=gr.components.Image(shape=(512, 512)), outputs=gr.components.Label(num_top_classes=3)).launch(share=True)

cat_dog_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4a0c96c356fcb0d4252eb473251c2a7c142d31f65878c7f9a4a7d415e498f68d
+size 46959339