Update main.py
Browse files
main.py
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import matplotlib.pyplot as plt
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import gradio as gr
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def predict(im1, im2):
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# ANSWER HERE
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embeddings = model.encode([im1, im2])
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sim = cosine_similarity(embeddings[0].reshape(1, -1), embeddings[1].reshape(1, -1))[0][0]
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if sim > 0.89:
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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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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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)
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interface.launch(debug=True)
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