prediction app

app.py

@@ -1,7 +1,18 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+#|export
+from fastai.vision.all import *
+import gradio as gr
+#|export
+learn = load_learner('export.pkl')
+
+#|export
+categories = ('Gravel Bike','Mountain Bike','Road Bike')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+    #|export
+examples = ['mtb.jpg','road.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs="image", outputs="label",examples=examples)
+intf.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa58533116012e3585966bdd834512994deefa0829fbd129428cb69bc33e7661
+size 46968225