| 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_img(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() | |
| examples = ['images/cat.jpeg', 'images/dog.jpeg', 'images/dogcat.jpeg'] | |
| intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples, | |
| title = 'Cat vs Dog Images') | |
| intf.launch() | |