add app file

app.py

@@ -0,0 +1,19 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("model/what_brew_machine_v1.pkl")
+
+categories = tuple(learn.dls.vocab)
+
+def what_machine(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 = ['sample_imgs/aeropress_go.jpg', 
+            'sample_imgs/delonghi_espresso.jpg', 
+            'sample_imgs/moka_pot_red.jpeg']
+
+intf = gr.Interface(fn=what_machine, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)