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from fastai.vision.all import *
import gradio as gr
learn = load_learner("model.pkl")
categories = ["Bald uakari monkey", "Mandrill monkey",
"Panamanian White-faced Capuchin monkey",
"Golden snub-nosed monkey",
"Black howler monkey", "Guinea baboon",
"Bonnet macaque", "Japanese macaque"]
def classify_image(image):
pred, i, prob = learn.predict(image)
return dict(zip(categories, map(float, prob)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
interface.launch(inline=False) |