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import matplotlib.pyplot as plt |
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from sentence_transformers import SentenceTransformer |
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from sklearn.metrics.pairwise import cosine_similarity |
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import gradio as gr |
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model = SentenceTransformer("sentence-transformers/clip-ViT-L-14") |
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def predict(im1, im2): |
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embeddings = model.encode([im1, im2]) |
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sim = cosine_similarity(embeddings[0][None,:], embeddings[1][None,:])[0][0] |
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if sim > 0.78: |
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return sim, "SAME PERSON, UNLOCK PHONE" |
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else: |
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return sim, "DIFFERENT PEOPLE, DON'T UNLOCK" |
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title = "Face ID" |
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description = "Upload two selfies and find out if they are of the same person." |
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interface = gr.Interface(fn=predict, |
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inputs= [gr.Image(type="pil", source="webcam"), |
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gr.Image(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=title, |
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description=description |
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) |
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interface.launch(debug=False) |
