update to bear predictor

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+import fastbook
 
-def greet(name):
-    return "Hello " + name + "!!"
+fastbook.setup_book()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+from fastbook import *
+from fastai.vision.widgets import *
+
+learn = load_learner('bear_model.pkl')
+
+categories = ("black", "grizzly", "teddy")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+demo = gr.Interface(fn=classify_image, inputs="image", outputs="label")
 demo.launch()