Create app.py

app.py

@@ -0,0 +1,20 @@
+__all__ = ['is_Rabbit',"learn",'classify_image', 'categories','image','label','examples','intf']
+
+# Cell
+from fastai.vision.all import *
+import gradio as gr
+def is_cat(x): return x[0].isupper()
+
+
+learn = load_learner ('model.pkl')
+# Cell
+categories = ('Rabbit', 'Hare')
+def classify_image (img) :
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label ()
+examples=['Rabbit.jpg', 'TestRabbit.jpg','Hare.jpg']
+intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)