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