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| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner("export.pkl" ) | |
| def classify_image(img): | |
| pred, pred_idx, probs = learn.predict(img) | |
| return pred | |
| bear_types = 'grizzly' , 'black' , 'teddy' | |
| image = gr.inputs.Image(shape=(192 , 192)) | |
| label = gr.outputs.Label() | |
| examples = ["teddy.jpg" , "black.jpg" , "grizzly.jpg" ] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline = False) | |