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| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('export.pkl') | |
| def predict(img): | |
| labels = learn.dls.vocab | |
| im = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(im) | |
| return {label: float(prob) for (label,prob) in zip(labels,probs)} | |
| gr.Interface(fn=predict, | |
| inputs=gr.inputs.Image(shape=((400,400))), | |
| outputs=gr.outputs.Label(num_top_classes=4), | |
| title = "Art Mood", | |
| examples = [f'_Image{i}.jpg' for i in range(1,12)], | |
| description= "Does this Art make you think of Spring, Summer, Winter or Fall? Do you agree with the Prediction?").launch(share=True, enable_queue=True) | |