import subprocess import sys def install(package): subprocess.check_call([sys.executable, "-m", "pip", "install", package]) install('fastbook') # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. # %% auto 0 __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interface', 'classify_image'] # %% app.ipynb 1 from fastbook import * from fastai.vision.all import * from fastai.vision.widgets import ImageClassifierCleaner import gradio as gr # %% app.ipynb 2 learn = load_learner('model.pkl') # %% app.ipynb 3 categories=('bird','forest') def classify_image(img): pred,indx,probs=learn.predict(img) return dict(zip(categories,map(float,probs))) # %% app.ipynb 4 image=gr.inputs.Image(shape=(192,192)) label=gr.outputs.Label() examples=['imagesExample/a.jpg', 'imagesExample/b.jpg', 'imagesExample/dunno.jpg','imagesExample/c.jpg','imagesExample/d.jpg' ,'imagesExample/e.jpg','imagesExample/f.jpg','imagesExample/g.jpg'] interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label,examples=examples) interface.launch(inline=False)