Create app.py

app.py

@@ -0,0 +1,19 @@
+from fastai.vision.all import *
+import gradio as gr
+
+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']
+ 
+ intf = gr.Interface(fn=clssify_image, inputs=image, outputs=label, examples=examples)
+ intf.launch(inline-false)