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Update app.py
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app.py
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@@ -4,16 +4,20 @@ from torch import nn
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import numpy as np
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import gradio as gr
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import PIL
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# Instantiate classification model
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from fastai.vision.all import *
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model_multi = load_learner('vit_tiny_patch16.pkl')
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def binary_label(path):
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return 'No-anomaly' if (parent_label(path) == 'No-Anomaly') else 'Anomaly'
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model_binary = load_learner('vit_tiny_patch16_binary.pkl')
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# Instantiate segmentation model
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from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
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from torchvision.transforms import Grayscale
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import numpy as np
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import gradio as gr
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import PIL
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from huggingface_hub import from_pretrained_fastai
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# Instantiate classification model
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from fastai.vision.all import *
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#model_multi = load_learner('vit_tiny_patch16.pkl')
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repo_id = "zklee98/vit_tiny_patch16_multi"
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model_multi = from_pretrained_fastai(repo_id)
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def binary_label(path):
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return 'No-anomaly' if (parent_label(path) == 'No-Anomaly') else 'Anomaly'
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#model_binary = load_learner('vit_tiny_patch16_binary.pkl')
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model_binary = from_pretrained_fastai(repo_id='zklee98/vit_tiny_patch16_binary')
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# Instantiate segmentation model
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from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
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from torchvision.transforms import Grayscale
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