Update classifier function with learn object

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import * 
 
-def greet(name):
-    return "Why hello there, " + name + "!!"
+learn = load_learner('export.pkl')
+categories = ('altocumulus', 'altostratus', 'cirrocumulus', 'cirrostratus', 'cirrus', 'cumulonimbus', 'cumulus', 'nimbostratus', 'stratocumulus', 'stratus')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classifier(img):
+    pred, idx, prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+image = gr.inputs.Image(shape = (192, 192))
+label = gr.outputs.Label()
+# examples = ['apple.jpg', 'barn_owl.jpg']
+
+
+iface = gr.Interface(fn=classifier, inputs=image, outputs=label)
+iface.launch(inline = False)