| import gradio as gr | |
| from fastai.vision.all import load_learner, PILImage | |
| learn = load_learner('export.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 prototype bear classifier developed with fastaiwith images from ddg. Created as a demo for Gradio and HuggingFace Spaces." | |
| examples = [r'examples/grizzly_bear.jpg'] | |
| demo = gr.Interface(fn=predict, inputs="image", outputs="label") | |
| demo.launch() |