| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| _,_,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Bear Detector" | |
| description = "A Bear classifier trained on the Duck Duck go data with fastai. Created as a demo for Gradio and HuggingFace Spaces." | |
| examples = ['grizzly.jpg','teddy.jpg','black.jpg'] | |
| gr.Interface(fn=predict, | |
| inputs=gr.Image(height=512, width=512), | |
| outputs=gr.Label(num_top_classes=3), | |
| title=title, | |
| description=description, | |
| examples=examples).launch() |