| from fastai.vision.all import * | |
| import gradio as gr | |
| 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))) | |
| examples = ['dog.jpeg', 'cat.jpeg', 'elephant.jpeg'] | |
| intf = gr.Interface(fn=classify_image,inputs=gr.Image(type="pil"), outputs=gr.Label(), examples=examples) | |
| intf.launch(inline=False) | |