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import gradio as gr
from fastai.vision.all import *
import skimage
def get_x(r): return "/kaggle/input/aptos2019/train_images/train_images/1ae8c165fd53.png"
def get_y(r): return r['diagnosis']
learn = load_learner('model.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
title = "Proliferative Retinopathy Detection"
description = """Detects severity of diabetic retinopathy -
0 - No DR
1 - Mild
2 - Moderate
3 - Severe
4 - Proliferative DR
"""
article="<p style='text-align: center'><a href='https://www.kaggle.com/code/josemauriciodelgado/proliferative-retinopathy' target='_blank'>Notebook</a></p>"
interpretation='default'
enable_queue=True
gr.Interface(
fn=predict,
inputs=gr.Image(),
outputs=gr.Label(num_top_classes=5),
).launch() |