create app

app.py

@@ -0,0 +1,17 @@
+from fastai.vision.all import *
+import gradio as gr
+
+categories = ('Chinese', 'Korean')
+
+learn = load_learner('model.pkl')
+
+def classify_image(img):
+  pred, idx, prob = learn.predict(img)
+  return dict(zip(categories, map(float, prob)))
+
+image = gr.Image()
+label = gr.Label()
+examples = ['Beijing_hot_pot.jpg', 'chinese_hot_pot.jpg', 'Korean_hot_pot.jpg']
+
+demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, allow_flagging = "never")
+demo.launch(inline=False)