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Update app.py
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app.py
CHANGED
@@ -10,10 +10,30 @@ Gans=["biggan-deep-128", "biggan-deep-256", "biggan-deep-512"]
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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"}
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io1 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128')
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io2 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128')
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io3 = gr.Interface.load('vqgan_imagenet_f16_16384')
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#io3 = gr.Interface.load("huggingface/emilyalsentzer/Bio_Discharge_Summary_BERT")
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#io3 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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#io3 = gr.Interface.load("huggingface/tennessejoyce/titlewave-t5-base")
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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"}
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import os
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import torch
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from PIL import Image
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from torchvision import transforms
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# === SEMI-WEAKLY SUPERVISED MODELSP RETRAINED WITH 940 HASHTAGGED PUBLIC CONTENT ===
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model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnet18_swsl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnet50_swsl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext50_32x4d_swsl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x4d_swsl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x8d_swsl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x16d_swsl')
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# ================= SEMI-SUPERVISED MODELS PRETRAINED WITH YFCC100M ==================
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnet18_ssl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnet50_ssl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext50_32x4d_ssl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x4d_ssl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x8d_ssl')
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# model = torch.hub.load('facebookresearch/semi-supervised-ImageNet1K-models', 'resnext101_32x16d_ssl')
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io1 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128')
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io2 = gr.Interface.load('huggingface/osanseviero/BigGAN-deep-128')
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#io3 = gr.Interface.load('vqgan_imagenet_f16_16384')
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io3 = gr.Interface.load(model)
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#io3 = gr.Interface.load("huggingface/emilyalsentzer/Bio_Discharge_Summary_BERT")
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#io3 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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#io3 = gr.Interface.load("huggingface/tennessejoyce/titlewave-t5-base")
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