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| # -*- coding: utf-8 -*- | |
| """deploy-model-gradio.ipynb | |
| Original file is located at | |
| https://colab.research.google.com/drive/1vMT0nd-CxKVMAA5RUePxsjX75oiipW7y | |
| """ | |
| #|export | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| #|export | |
| learn = load_learner('model.pkl') | |
| #|export | |
| categories = ("kiwi", "manzana", "platano") | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| #|export | |
| image = gr.inputs.Image(shape=(224,224)) | |
| label = gr.outputs.Label() | |
| examples = ["manzana.jpg", "kiwi.jpg", "platano.jpg"] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |