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import gradio as gr
from fastai.vision.all import *
import numpy as np
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
learn = load_learner('dense_model.pkl')
def classify_image(img):
img = np.array(img)
pred, idx, probs = learn.predict(img)
return pred
image = gr.inputs.Image(shape=(224,224))
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False) |