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from fastai.vision.all import * | |
import gradio as gr | |
import timm | |
learn = load_learner('model.pkl') | |
categories = ('Bald Eagle','Coopers Hawk','Golden Eagle','Juvenile Bald Eagle','Osprey','Red-tailed Hawk') | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
examples = ['baldeagle.jpg','coopers.jpg','goldeneagle.jpg','juvenilebaldeagle.jpg','osprey.jpg','redtailedhawk.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) |