app.py

from fastbook import *
import gradio as gr 
## lets load the model 
learn_inf = load_learner('bear_classifier_cat')

def bear_classifier(image):
  pred,pred_idx,probs = learn_inf.predict(image)
  pred_name = 'Prediction: ' , pred
  pred_prob = 'Probability: ' , round(probs[pred_idx],4)
  return pred_name, pred_prob
  
 
iface = gr.Interface(fn=bear_classifier, inputs=gr.inputs.Image(shape=(224, 224)), \
             outputs=["text", "number"])

iface.launch(inline=False)