| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('export.pkl') | |
| categories = ('dragon fruit', 'Lemon', 'Orange', 'yellow apple', 'red apple', 'green apple') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape = (256, 256)) | |
| label = gr.outputs.Label() | |
| examples = ['apple.jpeg'] | |
| intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch() | |
| # def greet(name): | |
| # return "Hello " + name + "!!" | |
| # iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| # iface.launch() | |