Create app.py

app.py

@@ -0,0 +1,20 @@
+from fastai.vision.all import *
+from gradio import Interface, components
+
+learn = load_learner('model.pkl')
+categories = learn.dls.vocab
+examples = ['bird.jpg']
+
+# function for the prediction
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = components.Image(shape=(192, 192))
+label = components.Label()
+
+intf = Interface(
+    fn=classify_image, inputs=[image], outputs=[label], examples=examples
+)
+
+intf.launch(debug=True)