| # Import libraries | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # Load model | |
| learn = load_learner('labrador.pkl') | |
| # Define categories | |
| categories = ('Black', 'Golden') | |
| # Define function to classify image | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # Define Gradio interface | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['black.jpg', 'golden.jpg', 'banana.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |