Add Dog vs Cat img classifier

app.py

@@ -1,6 +1,21 @@
+__all__ = ["is_cat" , "learn", "classify_image", "categories", "image", "label", "examples", "intf"]
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return f"Hello {name}!"
+def is_cat(x): return x[0].isupper()
+
+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.jpg"]
 
-gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

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