| import gradio as gr | |
| from fastai.vision.all import * | |
| from huggingface_hub import from_pretrained_fastai | |
| learn = from_pretrained_fastai("papadablo/senyera-classifier-25") | |
| 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 = "A humble senyeras classifier" | |
| description = "A humble model that tries to classify by origin the different flags inspired by the senyera." | |
| examples = ['catalunya', 'baleares', 'valencia', 'aragon'] | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(num_top_classes=4), | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| ).launch() |