| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_dog(x): return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| categories = ('dog', 'cat') | |
| def classify_images(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| intf = gr.Interface(fn=classify_images,inputs=gr.Image(type='pil'),outputs=gr.Label(),examples=['cat.jpeg', 'dog.jpeg', 'dunno.jpeg']) | |
| intf.launch(inline=False) |