classify card

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+categories = ('playing', 'pokemon', 'yugioh')
+
+def classify_image(photo):
+    card_type,_,probs = learn.predict(photo)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Labels()
+exemples = ['king.jpg', 'yugi.jpg', 'pikachu.jpg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, exemples=exemples)
 iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4be1fb1105b68947d02a106684ec52e5a774931b9d681bcc65e38b6bfeedf71
+size 46959557