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import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner("model.pkl") | |
categories = ["Bald Eagle", "Osprey"] | |
def classify(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
iface = gr.Interface(fn=classify, inputs="image", outputs="label") | |
iface.launch() | |