| import gradio as gr | |
| from fastai.vision.all import * | |
| import logging | |
| def is_cat(x): return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| logging.info(pred, probs) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(num_top_classes=3) | |
| ) | |
| demo.launch() |