| from fastai.vision.all import * | |
| import gradio as gr | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Bear Classifier" | |
| description = "A bear classifier trained on downloaded images of bear dataset with fastai." | |
| article="<p style='text-align: center'><a href='https://shuowangphd.github.io' target='_blank'>Back to my personal webpage.</a></p>" | |
| exa = [['grizzly.jpg'],['teddy.jpg']] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| title=title,description=description,article=article,examples=exa, | |
| interpretation=interpretation, | |
| enable_queue=enable_queue).launch() | |