Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+
+def is_cat(x):
+  return x[0].isupper()
+
+
+img = PILImage.create('dog.jpg')
+img.thumbnail((192, 192))
+img
+
+
+
+learn =  load_learner('model.pkl')
+
+learn.predict(img)
+
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+classify_image(img)
+
+
+image = gr.Image(height=192, width=192)
+label = gr.Label()
+examples = ['dog.jpg', 'cat.jpg', 'rabbit.jpg']
+
+intf = gr.Interface(fn= classify_image, inputs = image, outputs = label, examples = examples)
+intf.launch(inline = False, share = True)