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from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
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()
exemple = ["dog.jpg", "cat.jpg"]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=exemple)
intf.launch(inline=False) |