| from fastai.vision.all import * | |
| import gradio as gr | |
| # from fastbook import * | |
| # from fastdownload import download_url | |
| # def greet(name): | |
| # return "Hello " + name + "!!" | |
| # iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| # iface.launch() | |
| def is_cat(x): return x[0].isupper() | |
| learn = load_learner("model.pkl") | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| example = ['cat.jpg', 'dog.jpg'] | |
| intr = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=example) | |
| intr.launch(inline=False) |