Upload app.py

app.py

@@ -0,0 +1,19 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+
+categories = learn.dls.vocab
+
+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()
+examples = ["example1.jpg", "example2.jpg", "example3.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+