| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): | |
| return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.components.Image(label="Image Input") | |
| label = gr.components.Label(label="Image Output") | |
| examples = ['dog.jpg', 'cat.jpg', '0002a367-38b4-41c3-a47c-b11e104b394b.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |