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Runtime error
| # AUTOGENERATED! DO NOT EDIT! File to edit: ../01.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learner', 'labels', 'image', 'outputs', 'title', 'description', 'examples', 'interpretation', 'predict'] | |
| # %% ../01.ipynb 3 | |
| from fastai.vision.all import * | |
| # %% ../01.ipynb 4 | |
| learner = load_learner('model.pkl') | |
| # %% ../01.ipynb 5 | |
| labels = learner.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learner.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| # %% ../01.ipynb 7 | |
| import gradio as gr | |
| # %% ../01.ipynb 8 | |
| image = gr.inputs.Image(shape=(512, 512)) | |
| outputs = gr.outputs.Label(num_top_classes=3) | |
| title = "Road vs Gravel Bike Classifier" | |
| description = "Since for a human it's sometimes almost impossible to distuingish the two, let's see if an AI is better at telling them apart!" | |
| examples = ['gravelbike.jpeg', 'roadbike.jpeg'] | |
| interpretation='default' | |
| gr.Interface(fn=predict, inputs=image, outputs=outputs, title=title, description=description, examples=examples).launch(inline=False) | |