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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() |