Update app.py

app.py

@@ -4,9 +4,10 @@ path = Path()
 path.ls(file_exts='.pkl')
 learn_inf = load_learner(path/'export.pkl')
 labels = learn_inf.dls.vocab
-def on_click_classify(img):
-     img = PILImage.create(img)
+def on_click_classify(imgage):
+     img = PILImage.create(image)
      pred,pred_idx,probs = learn_inf.predict(img)
      return {labels[i]: float(probs[i]) for i in range(len(labels))}
 import gradio as gr
-gr.Interface(fn=on_click_classify, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3)).launch(share=True)
+title = "Classify a Bear! Check if it is a grizzly, black or teddy bear! "
+gr.Interface(fn=on_click_classify, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3), title=title).launch(share=True)