update gradio Image type

app.py

@@ -161,7 +161,8 @@ learn = fastai.learner.load_learner('ada_learn_skin_norm2000.pkl')
 learn2 = fastai.learner.load_learner('ada_learn_malben.pkl')
 maxi.categories = learn.dls.vocab
 maxi.categories2 = learn2.dls.vocab
-hf_image = gradio.inputs.Image(shape=(192, 192))
+#hf_image = gradio.inputs.Image(shape=(192, 192))
+hf_image = gradio.Image(type="pil")
 hf_label = gradio.outputs.Label()
 intf = gradio.Interface(fn=maxi.predict_donut, 
   inputs=hf_image,