| import gradio as gr |
| from fastai.vision.all import * |
|
|
| learn = load_learner('plaza.pkl') |
|
|
| categories = ('Riu Plaza Berlin','Riu Plaza Dublin', 'Riu Plaza España', "Riu Plaza Fisherman's Wharf", 'Riu Plaza Manhattan Times Square','Riu Plaza Miami Beach', 'Riu Plaza New York Times Square') |
|
|
| 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 = ['riuplazaberlin.jpg', 'riuplazaesp.jpg', 'riuplazamiami.jpg'] |
| |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| iface.launch() |
