import gradio as gr from fastai.vision.all import * from fastcore import * learn = load_learner('architecture.pkl') labels = learn.dls.vocab title = "Architectural style clasisfier" description = """ Upload a picture to this architectural classifier trained with fast.ai. """ article = """ We hope you found this useful! """ def predict(imgpath): img = PILImage.create(imgpath) pred, pred_idx, probs = learn.predict(img) return {labels[i]: float(probs[i]) for i in range(len(labels))} 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 ).launch()