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from huggingface_hub import from_pretrained_fastai
import gradio as gr
def is_cat(x): return x[0].isupper()
# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
repo_id = "shinmemkuf/lesson2_demo"
learn = from_pretrained_fastai(repo_id)
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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