Create app.py

app.py

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+#/export
+from fastai.vision.all import*
+import gradio as gr
+
+def oldornot(x): return x[0].isupper()
+
+#/export
+learn = load_learner('model.pkl')
+
+#/export
+categories = ['Old_Car','New_car']
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+#/export 
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['new_car_2.jpg','new_car_4.jpg','old_car_7.jpg','old_car_12.jpg']
+
+intf = gr.Interface(fn=classify_image,inputs=image,output=label, examples=examples)
+intf.launch(inline=False)