| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner("comics_classifier1.pkl") | |
| def classify_image(img): | |
| publication, _, probs = learn.predict(img) | |
| return dict(zip(("DC", "Marvel"), map(float, probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ["./ex_img/John_Constantine_0010.jpg", "./ex_img/ambush_bug2.jpg", "./ex_img/blade.jpg"] | |
| intf = gr.Interface(fn=classify_image, inputs=image,outputs=label, examples=examples) | |
| intf.launch(inline=False) | |