add image classification functionality using fastai and Gradio

app.py

@@ -1,3 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
-def greet(name): return f"Hello {name}!"
-gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+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()
+example = ["2560px-A-Cat.jpg", "Dog_Breeds.jpg", "dunno.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
+intf.launch(inline=False)