add files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper() 
+
+learn = load_learner('model.pkl')
+categories = ('Dog', 'Cat')
+def classify_img(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 = ['images/cat.jpeg', 'images/dog.jpeg', 'images/dogcat.jpeg']
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples,
+                    title = 'Cat vs Dog Images')
+intf.launch()

requirements.txt

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+fastai==2.7.7