| from fastai.vision.all import * | |
| import gradio as gr | |
| import pathlib | |
| learn = load_learner('model.pkl') | |
| categories = ('Empty','Healthy', 'Wilted') | |
| def classify_img(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.Image(shape=(192,192)) | |
| label = gr.Label() | |
| intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples= ['healthy_hydro_kale.jpg', 'wilted_plant.jpg', 'empty_trays.jpg']) | |
| intf.launch(inline=False) |