cat-v-dog gradio model

app.py

@@ -1,7 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-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 = ['dog1.jpg', 'dog2.jpg', 'cat1.webp', 'cat1.jpg', 'cat2.jpg']
+
+ui = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+ui.launch(inline=false)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5437f48360e30e9d904782a28612d52c2e97cb1a876f96d3fb26d90ea33d406e
+size 47061355