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import warnings
from fastai.vision.all import *
import gradio as gr
warnings.simplefilter("ignore", category=UserWarning)
learn = load_learner("model.pkl")
warnings.resetwarnings()
categories = ("heavy truck", "car", "bike")
def classify_image(img):
_, _, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image()
label = gr.Label()
examples = [
"caminhao1.jpeg",
"caminhao2.jpeg",
"caminhao3.jpeg",
"carro1.jpeg",
"carro2.jpeg",
"carro3.jpeg",
]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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