# AUTOGENERATED! DO NOT EDIT! File to edit: bear_gradio_class_app.ipynb. # import subprocess # import sys # def install(package): # subprocess.check_call([sys.executable, "-m", "pip", "install", package]) # install('fastai') # %% auto 0 __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] # %% bear_gradio_class_app.ipynb 1 from fastai.vision.all import * import gradio as gr import pathlib temp = pathlib.PosixPath pathlib.WindowsPath = pathlib.PosixPath # %% bear_gradio_class_app.ipynb 2 learn = load_learner('bearclassification.pkl') # type: ignore # %% bear_gradio_class_app.ipynb 4 categories = ('black','teddy','grizzly') def classify_image(img): pred,idx,probs = learn.predict(img) return dict(zip(categories, map(float,probs))) # %% bear_gradio_class_app.ipynb 6 image = gr.Image(height =192, width =192) label = gr.Label() examples = ['black.jpg','grizzly.jpg','teddy.jpg'] intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) intf.launch(inline = False)