| import timm | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| path = Path() | |
| path | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| def roofpredict(img): | |
| img = PILImage.create(img) | |
| img = img.to_thumb(500,500) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Chocolate Classifier" | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=roofpredict, inputs="image", outputs="label",title=title).launch() |