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) |