Updated .py to include example images in interface

app.py

@@ -1,7 +1,24 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return f"Hello, {name}"
 
-iface = gr.Intergace(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner("export.pkl")
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Bear classifier"
+description = "It can only do panda, polar or spectacled bears so far..."
+interpretation= "default"
+examples = ["panda.jpg","polar.jpg","spectacled.jpg"]
+
+gr.Interface(fn = predict,
+             inputs = gr.inputs.Image(shape = (512, 512)),
+             outputs = gr.outputs.Label(num_top_classes=3),
+             title = title,
+             description = description,
+             examples = examples,
+             interpretation = interpretation).launch(share=True)