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__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf'] | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x): return x[0].isupper() | |
learn = load_learner('model.pkl') | |
categories = ('Dog','Cat') | |
def classify_image(img): | |
pred,idx,probs =learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
examples = ['dog.jpg','cat.jpg','dunno,jpg'] | |
intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples = examples) | |
intf.launch(inline=False) |