Init commit

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner("cat.pkl")
+
+classes = learn.vocab
+examples = learn.examples
+
+def classify_image(img):
+    probs = learn.predict(img)[2]
+    return dict(zip(classes, map(float, probs)))
+
+image = gr.Image()
+label = gr.Label(num_top_classes=5)
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+intf.launch()
+

cat.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f14d941dc089848de6cba3463aee8d13e3f8609b44dc0f6229ada50e4535f3b
+size 87488743