| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('mig_or_su.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| examples = ['mig.jpg', 'su.jpg'] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict,inputs="image", outputs="label", title="Mig-29 or Su-27", examples=examples).launch() | |