Just typed from fasai

app.py

@@ -1,9 +1,30 @@
 import gradio as gr
+import fastai.vision.all import *
 
+_all_ = ['is_cat', 'learn', 'classify_image',
+         'categories', 'image', 'label', 'examples', 'intf']
 
-def greet(name):
-    return "Hello " + name + "!!"
+# cell
 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def is_cat(x): return x[0].isupper()
+
+
+# cell
+learn = load_learner('model.pkl')
+
+# cell
+categories = ('Dog', 'Cat')
+
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+# cell
+image = gr.input.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+iface.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55427395c909f272407029237124a5d21b8d6f88647f5eb4a57e199a8eff7c59
+size 47046315