| from fastai.vision.all import * | |
| import gradio as gr | |
| # # get image | |
| # im=PILImage.create("dog.jpg") | |
| # im.thumbnail((255,255)) | |
| # im | |
| # export | |
| learn=load_learner('model.pkl') | |
| categories=("Impressionist", "Romanticist", "Realist") | |
| # # learns on image | |
| # learn.predict(im) | |
| # gradi orequires function | |
| def classify_img(img): | |
| pred,idx,probs=learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # image=gr.inputs.Image(shape=(192,192)) | |
| # label=gr.outputs.Label() | |
| # examples=['i.jpg', 'r.jpg','re.jpg'] | |
| intf=gr.Interface(fn=classify_img,inputs=gr.Image(type="pil"),outputs=gr.Label()) | |
| intf.launch(inline=False) |