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69e420c 640c560 69e420c c7eed12 69e420c c7eed12 69e420c 24edf0f 69e420c a8b751b 5255d86 2cded81 c7eed12 f439787 640c560 c7eed12 640c560 69e420c 24edf0f c7eed12 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | import os
os.system("pip install fastai gradio torch")
__all__ = ['is_cat', 'learn', 'classify_image', 'image', 'label', 'examples', 'intf']
#导包
from fastai.vision.all import *
import gradio as gr
import pathlib
def is_cat(x): return x[1].isupper()
#从模型中获取数据
learn = load_learner('model.pkl')
#当前的分类
categories = ('Dog', 'Cat','Rabbit')
def classify_image(img):
img = PILImage.create(img)
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image(type="pil")
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch() |