Upload 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() 
+
+learn = load_learner("model.pkl")
+
+
+im = PILImage.create('dog.jpg')
+im.thumbnail((192,192))
+im
+
+
+
+learn.predict(im)
+
+
+categories = ("dog","cat")
+def classify_image(img):
+    pred,idx,probs=learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+classify_image(im)
+
+image = gr.inputs.Image(shape=(192,192))
+label= gr.outputs.Label()
+examples = ['dog.jpg','cat.jpg','example.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples)
+intf.launch(inline=False)
+
+
+
+
+
+