Update app.py

app.py

@@ -2,11 +2,13 @@ from fastai.vision.all import *
 
 learn = load_learner('your_model.pkl')
 
+categories = ('Glaucoma Present','Glaucoma Absent')
+
 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))}
+    return dict(zip(categories, map(float,probs)))
 
 import gradio as gr
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)