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| from fastai.vision.all import * | |
| import gradio as gr | |
| title = 'Westworld host detector' | |
| description = 'Upload a picture of someone to find out whether they are a Host or human.' | |
| learn = load_learner('westworld2.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 = [['dolores.jpg'], ['hotdog.jpg']] | |
| gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), examples=examples, title=title, description=description, outputs=gr.outputs.Label(num_top_classes=3)).launch() | |