Create app1.py

app1.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_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()
+example=['dog.jpg']
+intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=example)
+intf.launch(inline=False)