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__all__ = ['is_glaucoma', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_glaucoma(x): return x[0].isupper() | |
learn = load_learner('your_model.pkl') | |
categories = ('Glaucoma Present','Glaucoma Absent') | |
def predict(img): | |
pred,pred_idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
image = gr.inputs.Image(shape=(512,512)) | |
label = gr.outputs.Label() | |
intf = gr.Interface(fn=predict, inputs=image, outputs=label) | |
intf.launch(inline=False) |