# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. # %% auto 0 __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] # %% app.ipynb 3 from fastai.vision.all import * import gradio as gr import timm # %% app.ipynb 7 learn = load_learner('model.pkl') # %% app.ipynb 9 categories = learn.dls.vocab def classify_image(img): pred,idx,probs = learn.predict(img) return dict(zip(categories, map(float,probs))) # %% app.ipynb 12 image = gr.inputs.Image(shape=(192, 192)) label = gr.outputs.Label() examples = ['dog.jpeg'] # %% app.ipynb 13 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch(inline=False)