| import gradio as gr | |
| from fastai.vision.all import load_learner | |
| learn = load_learner("export.pkl") | |
| categories = ("black", "grizzly", "teddy") | |
| def classify_image(img): | |
| _, _, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ["black.jpg", "grizzly.jpg", "teddy.jpg"] | |
| iface = gr.Interface( | |
| fn=classify_image, inputs="image", outputs="text", examples=examples | |
| ) | |
| iface.launch() | |