import gradio as gr from gradio.mix import Parallel, Series description = "BigGAN text-to-image demo." title = "BigGAN ImageNet" Gans=["biggan-deep-128", "biggan-deep-256", "biggan-deep-512"] model_names={"vqgan_imagenet_f16_16384": 'ImageNet 16384',"vqgan_imagenet_f16_1024":"ImageNet 1024", 'vqgan_openimages_f16_8192':'OpenImages 8912', "wikiart_1024":"WikiArt 1024", "wikiart_16384":"WikiArt 16384", "coco":"COCO-Stuff", "faceshq":"FacesHQ", "sflckr":"S-FLCKR"} io1 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128') io2 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128') io3 = gr.Interface.load('vqgan_imagenet_f16_16384') #io3 = gr.Interface.load("huggingface/emilyalsentzer/Bio_Discharge_Summary_BERT") #io3 = gr.Interface.load("huggingface/google/pegasus-pubmed") #io3 = gr.Interface.load("huggingface/tennessejoyce/titlewave-t5-base") # = Parallel(io1, io2, io3, interface = Parallel(io1,io2,io3, description=description, title = title, examples=[ ["lighthouse"], ["eyeglasses"], ["stool"], ["window"], ["hand"], ["dice"], ["cloud"], ["gate"], ["cat"], ["toes"] ] ) interface.launch()