| import matplotlib.pyplot as plt | |
| from sklearn.metrics.pairwise import cosine_similarity | |
| from sentence_transformers import SentenceTransformer, util | |
| model = SentenceTransformer("sentence-transformers/clip-ViT-L-14") | |
| def predict(im1, im2): | |
| emb1 = model.encode(im1) | |
| emb2 = model.encode(im2) | |
| sim = util.cos_sim(emb1, emb2) | |
| if sim > 0.80: | |
| return sim, "SAME PERSON, UNLOCK PHONE" | |
| else: | |
| return sim, "DIFFERENT PEOPLE, DON'T UNLOCK" | |
| import gradio as gr | |
| interface = gr.Interface(fn=predict, | |
| inputs= [gr.Image(type="pil", source="webcam"), | |
| gr.Image(type="pil", source="webcam")], | |
| outputs= [gr.Number(label="Similarity"), | |
| gr.Textbox(label="Message")] | |
| ) | |
| interface.launch() |