MahletB/car-classifier-week2

1import gradio as gr2from fastai.vision.all import *3import skimage4 5learn = load_learner('export.pkl')6 7labels = learn.dls.vocab8def predict(img):9    img = PILImage.create(img)10    pred,pred_idx,probs = learn.predict(img)11    return {labels[i]: float(probs[i]) for i in range(len(labels))}12 13title = "car bus Classifier"14description = "A classifier created with fastai. Created as a demo for Gradio and HuggingFace Spaces."15examples = ['car.jpg','car.jpg']16enable_queue=True17 18gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label19(num_top_classes=3),title=title,description=description,examples=examples,enable_queue=enable_queue).launch()