wip

app.py

@@ -1,8 +1,17 @@
 import gradio as gr
+from fastcore.all import *
+import time
 
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
 examples = ['bmw_750.jpeg']
+categories = ['bmw car', 'mercedes car']
+
+learn.load_learner("export.kpl")
+
+def classify_image(img):
+  pred, _, prob = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
 
 intf = gr.Interface(fn=classify_image, inputs=image, outpluts=label, examples=examples)
 intf.launch(inline=False)