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| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('Landschaften.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Land, Berge oder Strand?" | |
| description = "Ein Klassifikator für drei Landschaften in Bildern" | |
| interpretation='default' | |
| enable_queue=True | |
| iface = gr.Interface(fn=predict, | |
| inputs=gr.Image(shape=(512, 512)), | |
| outputs=gr.Label(), | |
| title=title, | |
| description=description) | |
| iface.queue() | |
| iface.launch() |