Update README.md
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README.md
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@@ -31,11 +31,13 @@ To use the model for inference:
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from torchvision import transforms
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import torch
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from PIL import Image
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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# Load model
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# Emotion label mapping
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idx2label = {
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from torchvision import transforms
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import torch
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from PIL import Image
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from huggingface_hub import hf_hub_download
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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# Load model
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model_path = hf_hub_download(repo_id="PerceptCLIP/PerceptCLIP_Emotions", filename="perceptCLIP_Emotions.pth")
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model = torch.load(model_path).to(device).eval()
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# Emotion label mapping
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idx2label = {
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