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import gradio as gr
from fastai.vision.all import *
def label_func(fname: str) -> str:
return fname.split("_")[0]
learner = load_learner("model.pkl")
categories = ("daytime", "nighttime", "sunrise")
def classify_image(img):
_, _, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch() |