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from sklearn.metrics.pairwise import cosine_similarity | |
from sentence_transformers import SentenceTransformer | |
import datasets | |
import gradio as gr | |
model = SentenceTransformer('clip-ViT-B-16') | |
dataset = datasets.load_dataset('brendenc/celeb-identities') | |
def predict(im1, im2): | |
embeddings = model.encode([im1, im2]) | |
sim = cosine_similarity(embeddings) | |
sim = sim[0, 1] | |
if sim > 0.75: | |
return sim, "SAME PERSON, UNLOCK PHONE" | |
else: | |
return sim, "DIFFERENT PEOPLE, DON'T UNLOCK" | |
interface = gr.Interface(fn=predict, | |
inputs= [gr.Image(value = dataset['train']['image'][0], type="pil", source="webcam"), | |
gr.Image(value = dataset['train']['image'][1], type="pil", source="webcam")], | |
outputs= [gr.Number(label="Similarity"), | |
gr.Textbox(label="Message")], | |
title = 'Face ID', | |
description = 'This app uses emage embeddings and cosine similarity to function as a Face ID application. Cosine similarity is used, so it ranges from -1 to 1.' | |
) | |
interface.launch(debug=True) | |