| import gradio as gr | |
| import gradio.components as grc | |
| from fastai.vision.all import * | |
| import skimage | |
| learn=load_learner("model.pkl") | |
| examples=[["margherita.jpg"],["paneer.jpg"],["paneer1.jpeg"],["paneer2.jpg"],["paneer3.jpg"],["paneer4.jpeg"],["paneer5.jpeg"]] | |
| categories=('margherita pizza','pepperoni pizza','paneer pizza','hawaiian pizza','greeek pizza') | |
| def classify_img(img): | |
| pred,idx,probs=learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| image=grc.Image(shape=(192,192)) | |
| label=grc.Label() | |
| intf=gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=examples) | |
| intf.launch() | |