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import gradio as gr
from fastai.vision.all import *
import pathlib
temp = pathlib.PosixPath
pathlib.PosixPath = pathlib.WindowsPath
catergories = ('bunny girl', 'cat neko girl', 'fox kitsune girl', 'wolfgirl')
def load_model_and_predict(img):
#img = PILImage.create(image_path)
pred, idx, probs = learn.predict(img)
#return pred, probs
return dict(zip(catergories, map(float,probs)))
model_path = "export_resnet101_e7_2.pkl"
learn = load_learner(model_path)
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
iface = gr.Interface(fn=load_model_and_predict, inputs=image, outputs=label)
iface.launch() |