| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_cat(x) : return x[0].issuper() | |
| #im = PLImage.create('dog.jpg') | |
| #im.thumbnail((192,192)) | |
| #learn.predict(im) | |
| #def greet(name): | |
| # return "Hello " + name + "!!" | |
| #iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| #iface.launch() | |
| learn = load_learner('export.pkl') | |
| Categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(Categories, map(float, probs))) | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = ['dog.jpg', 'cat.jpg','dunno.jpg'] | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples) | |
| iface.launch(inline=False) | |