Updated with bear classifier

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
+categories = ('Black', 'Grizzly', 'Teddy')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+def classify_image(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 = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 iface.launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:854cd2750dcd5f2da1dd96e8e542f8e7d081daa3e8ebbebc581ecbf754607335
+size 46968207