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import gradio as gr
from fastai.vision.all import *
learner = load_learner("model.pkl")
classes = learner.dls.vocab
def classify_image(image):
pred, idx, probs = learner.predict(image)
return dict(zip(classes,map(float,probs)))
image = gr.Image()
label = gr.Label()
examples = ['cat.jpg', 'dog.jpg',"dunno.jpg"]
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
interface.launch() |