load app

car_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:454f4ec0c83ff166dbbb43cc2a254ba8bed8c96e01ad63e19197f0a4f3111a4c
+size 46972997

dep.py

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+from fastai.vision.widgets import *
+from fastcore.all import *
+from fastbook import *
+from fastai.vision.widgets import *
+import fastbook
+import gradio as gr
+fastbook.setup_book()
+from fastai import *
+
+
+learn = load_learner('car_model.pkl')
+
+cat = ('sedan', 'suv')
+
+def classify_image(img):
+    pred,idx,probs= learn.predict(img)
+    return dict(zip(cat, map(float, probs)))
+
+image = gr.inputs.Image(shape=(200,200))
+label = gr.components.Label()
+example = ['sedan.jpg','suv.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
+intf.launch(inline=False)