+ model

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+from fastai.vision.widgets import *
+from fastbook import *
+
+learn = load_learner(r"fastbook/export.pkl")
+
+categories = ('Grizzly','Black','Teddy')
+
+def classify_images(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['fastbook/bears/black/0d147856-6c48-449c-80a1-8ea58587d207.jpg']
+
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
 iface.launch()