Model

.gitignore

@@ -0,0 +1 @@
+__pycache__

app.py

@@ -1,7 +1,16 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("horh.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ("Hiroshige", "Hokusai")
+
+def classify_image(img):
+    pred, ix, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

horh.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64a3b63dce37e39bdc21cb7b88d587aa6697431a35ed19f8a96ccb7848c8bd75
+size 46996473