| 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(shape=(192,192)) | |
| label = gr.components.Label() | |
| examples = ['dog.jpg', 'cat.jpeg', 'cat.webp'] | |
| interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| interface.launch(inline='false') |