Update app.py

app.py

@@ -2,12 +2,12 @@ from fastai.vision.all import *
 import gradio as gr
 
 learn = load_learner('model.pkl')
-
-categories = ('grizzly bear', 'black bear', 'teddy bear')
+labels = learn.dls.vocab
 
 def classify_image(img):
-    pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs)))
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()