use PIL

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from skimage import PILImage
+from PIL import Image
 from fastai.vision.all import load_learner
 
 learn = load_learner("model.pkl")
@@ -9,7 +9,7 @@ labels = learn.dls.vocab
 
 
 def predict(img):
-    img = PILImage.create(img)
+    img = Image.open(img)
     pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}