| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_goku(x): | |
| return x[0].issuper() | |
| learn = load_learner ('model.pkl') | |
| categories = ('Bardock', 'Goku', 'Goku Black', 'Goku Jr.', 'Goten', 'Turles') | |
| def classify_image (img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image=gr.Image(type="pil") | |
| label=gr.Label(num_top_classes=6) | |
| examples =['Goku.jpg', 'Goku Black.jpg', 'Turles.jpg', 'Bardock.jpg', 'Goku Jr..jpg', 'Goten.jpg'] | |
| title = "Goku Lookalikes Classifier" | |
| intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples,title=title) | |
| intf.launch(inline=False) |