wip

app.py

@@ -1,8 +1,16 @@
 import gradio as gr
 from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('grizzly', 'black', 'teddy')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+iface.launch(inline=False)