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""" | |
My first gradio application, used to practice the deployment of a deep learning model | |
""" | |
import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('model.pkl') | |
devonian_invertebrates = ( | |
"Agnostida", | |
"Ammonites", | |
"Brachiopods", | |
"Bryozoa", | |
"Cephalopods", | |
"Corals", | |
"Crinoids", | |
"Gastropods", | |
"Nautiloids", | |
"Trilobites", | |
) | |
def classify_image(image): | |
_,_,probs = learn.predict(image) | |
return dict(zip(devonian_invertebrates, map(float, probs))) | |
image = gr.inputs.Image(shape=(192, 192)) | |
label = gr.outputs.Label() | |
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label).launch(inline=False) | |