| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('model.pkl') | |
| categories = ['calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating', 'fighting', 'hugging', | |
| 'laughing', 'listening_to_music', 'running', 'sitting', 'sleeping', 'texting', 'using_laptop'] | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return {cat: float(prob) for cat, prob in zip(categories, probs)} | |
| demo = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(), | |
| examples=[ | |
| 'laughing.jpg', | |
| 'dancing.jpg', | |
| 'drinking.jpg' | |
| ] | |
| ) | |
| demo.launch() |