doyu/pets

1from fastai.vision.all import *2import gradio as gr3 4def is_cat(x): return x[0].isupper()5learn = load_learner('model.pkl')6 7categories = ('dog', 'cat')8 9def classify_image(img):10    pred,idx,probs = learn.predict(img)11    return dict(zip(categories, map(float,probs)))12                                                                                                                  13image = gr.inputs.Image(shape=(192,192))14label = gr.outputs.Label()15examples = ['dog.jpg', 'cat.jpg']16 17intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)18intf.launch(inline=False)19