| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| learn = load_learner("model.pkl") | |
| im = PILImage.create('dog.jpg') | |
| im.thumbnail((192,192)) | |
| im | |
| learn.predict(im) | |
| categories = ("dog","cat") | |
| def classify_image(img): | |
| pred,idx,probs=learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| classify_image(im) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label= gr.outputs.Label() | |
| examples = ['dog.jpg','cat.jpg','example.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples) | |
| intf.launch(inline=False) | |