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import gradio as gr
import pathlib
from pathlib import Path
from fastai.text.all import *
categories = ('Korean','Vietnamese')
def predict_input_image(img):
pred,idx,probs = learn_inf.predict(img)
return dict(zip(categories,map(float,probs)))
path = Path()
#import pathlib
#if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
#temp = pathlib.PosixPath
plt = platform.system()
print(f"Platform : {plt}")
if plt == 'Windows':
pathlib.PosixPath = pathlib.WindowsPath
learn_inf = load_learner(path/'korean.pkl')
image = gr.inputs.Image(shape=(180,180))
label = gr.outputs.Label(num_top_classes=2)
gr.Interface(fn=predict_input_image, inputs=image, outputs=label,interpretation='default').launch(debug='True') |