Create dog-or-cat classifier

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+learner = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+labels = ['Dog', 'Cat']
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learner.predict(img)
+    return {label: float(probs[idx]) for idx, label in enumerate(labels)}
+
+iface = gr.Interface(
+    fn=predict,
+    inputs='image',
+    outputs='label',
+    title="Cat or Dog Classifier",
+    description="A cat or dog classifier trained with fastai",
+    examples=['cat.jpg', 'dog.jpg'],
+)
 iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c09d8f778f89c9eb588eefd9a5ba094eb163cd3ea708a4ea567a83e924f149f
+size 47059947

requirements.txt

@@ -0,0 +1 @@
+fastai