| from fastai.vision.all import * | |
| import gradio as gr | |
| # Import trained model | |
| learn = load_learner("model.pkl") | |
| # Define an object with labels (keys) and tensors (values) | |
| categories = {"Dog", "Cat"} | |
| def classify_image(img): | |
| pred,_,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # Build the Gradio interface | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ["examples/max.jpg", "examples/nymo.jpg"] | |
| intf = gr.Interface( | |
| fn=classify_image, | |
| inputs=image, | |
| outputs=label, | |
| examples=examples | |
| ) | |
| # Start the server | |
| intf.launch(inline=False) |