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| # import all the fastai stuff. | |
| from fastai.vision.all import * | |
| def is_cat(x): return x[0].isupper() | |
| # load our model. | |
| learn = load_learner('model.pkl') | |
| # define a prediction function, not sure what this means. | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| # this returns | |
| # predicted category | |
| # index | |
| # probabilities of each category | |
| pred,pred_idx,probs = learn.predict(img) | |
| # we return a weird dictionary or JSON? | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| import gradio as gr | |
| gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch() |