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| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('watersports.pkl') | |
| categories = learn.dls.vocab | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return( dict(zip(categories, map(float,probs)))) | |
| title = "Which Watersport?" | |
| description = "Drag an image into the analyser. Try to guess the water sport yourself, before hitting submit. \ | |
| You need to clear before dragging next image. You can also drag images directly from a google search." | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = './examples' | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, \ | |
| examples=examples, title=title, description=description) | |
| iface.launch(inline=False) | |