| import gradio as gr |
| import pathlib |
|
|
| from fastai.vision.all import * |
| import gradio as gr |
| |
| |
| learn = load_learner('BreedModel.pkl') |
| categories = ('Bull Terrier', 'Dobermann', 'German Shepherd') |
|
|
| def classify_image(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 = ['Dominique/domi.jpg', 'Dominique/domi2.jpg','Dominique/domi3.jpg'] |
|
|
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| iface.launch() |
