| import gradio as gr |
| from fastai.vision.all import * |
| import skimage |
|
|
|
|
| learn = load_learner('bear_classifier.pkl') |
|
|
| labels = learn.dls.vocab |
|
|
| def predict(img): |
| img = PILImage.create(img) |
| pred,pred_idx,probs = learn.predict(img) |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} |
|
|
| title = "Bear Classifier" |
| description = "A bear classifier trained on some images downloaded from ddg with fastai. Created as a demo for Gradio and HuggingFace Spaces." |
| examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg', 'f1.jpg'] |
| interpretation='default' |
| enable_queue=True |
|
|
| img = gr.Image() |
| lbl = gr.Label() |
|
|
| gr.Interface(fn=predict,inputs=img,outputs=lbl,title=title,description=description,examples=examples).launch() |
