Add examples and udpate app file

app.py

@@ -1,7 +1,16 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return f"Hello {name}"
+learner = load_learner("bears.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ("grizzly", "black", "white", "brown", "teddy")
+def classify_bear(img):
+    pred,idx,probs=learner.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples=["grizzly.jpg", "brown.jpg", "white.jpg", "black.jpg", "teddy.jpg"] 
+
+iface = gr.Interface(fn=classify_bear, inputs=image,  outputs=label, examples=examples)
+iface.launch(inline=False)

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image