beykun18 VishyVish commited on
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Duplicate from VishyVish/Face-ID-duplicated

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Co-authored-by: Vishal Singh <VishyVish@users.noreply.huggingface.co>

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  1. .gitattributes +31 -0
  2. README.md +13 -0
  3. app.py +31 -0
  4. requirements.txt +3 -0
.gitattributes ADDED
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README.md ADDED
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+ ---
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+ title: Face ID
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+ emoji: ⚡
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+ colorFrom: green
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+ colorTo: red
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+ sdk: gradio
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+ sdk_version: 3.4.1
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+ app_file: app.py
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+ pinned: false
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+ duplicated_from: VishyVish/Face-ID-duplicated
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ from sklearn.metrics.pairwise import cosine_similarity
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+ from sentence_transformers import SentenceTransformer
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+ import datasets
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+ import gradio as gr
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+
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+ #model = SentenceTransformer('clip-ViT-B-16')
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+ model = SentenceTransformer('clip-ViT-B-32')
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+ dataset = datasets.load_dataset('brendenc/celeb-identities')
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+
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+ def predict(im1, im2):
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+
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+ embeddings = model.encode([im1, im2])
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+ sim = cosine_similarity(embeddings)
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+ sim = sim[0, 1]
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+ if sim > 0.82:
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+ return sim, "SAME PERSON, AUTHORIZE PAYMENT"
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+ else:
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+ return sim, "DIFFERENT PEOPLE, DON'T AUTHORIZE PAYMENT"
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+
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+
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+ interface = gr.Interface(fn=predict,
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+ inputs= [gr.Image(value = dataset['train']['image'][10], type="pil", source="webcam"),
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+ gr.Image(value = dataset['train']['image'][17], type="pil", source="webcam")],
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+ outputs= [gr.Number(label="Similarity"),
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+ gr.Textbox(label="Message")],
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+ title = 'Face ID',
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+ description = 'This app uses face biometrics and a similarity to function as a Face ID application.The similarity score ranges from -1 to 1.'
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+ )
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+
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+ interface.launch(debug=True)
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+ #interface.launch(share=True)
requirements.txt ADDED
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+ scikit-learn
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+ datasets
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+ sentence_transformers