| import gradio as gr | |
| from fastai.vision.all import * | |
| title = "Grizzly/Black/Teddy bear classifier." | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| gr.HTML(title) | |
| image = gr.inputs.Image(shape=(224, 224)) | |
| label = gr.outputs.Label(num_top_classes=3) | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title) | |
| iface.launch() |