| from fastai.vision.all import load_learner | |
| import gradio as gr | |
| def is_cat(x): | |
| return x[0].is_upper | |
| learn = load_learner("model.pkl") | |
| categories = ("Dog", "Cat") | |
| def classify_image(img): | |
| _, _, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.Image(height=192, width=192) | |
| label = gr.Label() | |
| examples = ["dog.jpg", "cat.jpg"] | |
| gradio_interface = gr.Interface( | |
| fn=classify_image, inputs=image, outputs=label, examples=examples | |
| ) | |
| gradio_interface.launch(inline=False) | |