working code

app.py

@@ -1,18 +1,15 @@
-from fastai.vision.all import *
-import gradio as gr
-
 learn = load_learner('model.pkl')
 
-categories = ('black, 'grizzly', 'teddy')
+categories = ('black', 'grizzly', 'teddy')
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
 title = "Bear Classifier"
-description = "This classifier can help you identify if the image you uploaded is of a \n 1. Grizzly Bear \n 2.Black Bear \n 3.Teddy Bear \n"
+
 image = gr.Image(shape=(192,192))
 label = gr.Label()
 examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples, title=title, description= description)
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples, title=title)
 intf.launch(inline=False)