| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load learner('veicle_model.pkl') | |
| categories = ('Car', 'Bicycle', 'Truck lorry') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| exaples = ['car1.jpg', 'car2.jpg', 'bicycle1.jpg', 'bicycle2.jpg', 'truck1.jpg', 'truck2.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.lounch(inline=False) |