Added examples and updated app.py

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello updated " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+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 = "Gradio test"
+description = "Quick Fastai classifier for bird/forest."
+examples = ['examples/bird.jpg', 'examples/tree.jpg', 'examples/rainforest.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.Image(),outputs=gr.Label(num_top_classes=2),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
 iface.launch()