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from fastai.vision.all import *
import gradio as gr
learn = load_learner('model.pkl')
categories = ('Anime', 'Real')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
inputs = gr.inputs.Image(shape=(192,192))
outputs = gr.outputs.Label()
examples = ['anime.jpeg','real.jpg','dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs="image", outputs="label",examples=examples,title = "Anime or Real Face Classifier", article="<p style='text-align: center'><a href='https://github.com/Sart-Hack' target='_blank'>Github</a></p>")
intf.launch(inline=False) |