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Update app.py
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app.py
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@@ -1,3 +1,4 @@
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import gradio as gr
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import torch
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import torchvision.transforms as T
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@@ -41,7 +42,10 @@ def predict(image):
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embedding = dinov2(transformed_img)
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print(embedding.shape)
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embedding = embedding[0].cpu().numpy().tolist()
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return {
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"embedding": embedding
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}
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from datetime import datetime
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import gradio as gr
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import torch
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import torchvision.transforms as T
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embedding = dinov2(transformed_img)
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print(embedding.shape)
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embedding = embedding[0].cpu().numpy().tolist()
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# Get the current datetime for logging
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current_datetime = datetime.now()
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formatted_datetime = current_datetime.strftime("%Y-%m-%d %H:%M:%S")
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print(formatted_datetime)
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return {
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"embedding": embedding
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}
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