from fastai.vision.all import * from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai import gradio as gr def is_cat(x): return x[0].isupper() # Cell learn = from_pretrained_fastai("fastai/cat_or_dog") # Cell categories = ('Dog', 'Cat') def classify_image(img): pred,idx,probs = learn.predict(img) return dict(zip(categories, map(float,probs))) # Cell image = gr.inputs.Image(shape=(192, 192)) label = gr.outputs.Label() examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch()