| 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() |
|
|
