| import gradio as gr | |
| from fastbook import * | |
| learn = load_learner('./model (1).pkl') | |
| def predict(img): | |
| categories = learn.dls.vocab | |
| img = PILImage.create(img) | |
| category, idx, likelyhoods = learn.predict(img) | |
| return dict(zip(categories, map(float, likelyhoods))) | |
| img = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| intf = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=label).launch() | |