Updated to dog/cat classifier.

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+from fastai.vision.all import *
+
+
+def is_cat(x):
+    return x[0].isupper()
+
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+learn = load_learner("model.pkl")
+
+categories = ("Dog", "Cat")
+
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["dog.jpg", "cat.jpg", "dunno.png"]
+
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)
+

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dcdb8c18ace8f284e8fa8d73f75e3c24e374a653e25bb529bdfa8a2d4a7e643a
+size 47060011