Locomocool/MooseOrDeer

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# cambiar título13title = "Clasificador de imágenes"                                    14# cambiar descripción15description = "Un clasificador de imágenes entrenado sobre resnet18." 16interpretation='default'17enable_queue=True18 19gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=2),title=title,description=description,interpretation=interpretation,enable_queue=enable_queue).launch()