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from fastai.vision.all import *
import gradio as gr
from pathlib import Path
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
categories = ('Man', 'Woman')
learner = load_learner('export.pkl')
def classify_img(img):
pred, idx, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
inputs = gr.Image(height=224, width=224)
outputs = gr.Label()
examples = ['0.jpg', '71.jpg', '47.jpg', '19.jpg']
intf = gr.Interface(fn= classify_img, inputs=inputs, outputs=outputs, examples=examples)
intf.launch(inline=False) |