Spaces:
Runtime error
Runtime error
from sklearn.metrics.pairwise import cosine_similarity | |
from sentence_transformers import SentenceTransformer | |
import datasets | |
import gradio as gr | |
#model = SentenceTransformer('clip-ViT-B-16') | |
model = SentenceTransformer('clip-ViT-B-32') | |
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 > 0.82: | |
return sim, "SAME PERSON, AUTHORIZE PAYMENT" | |
else: | |
return sim, "DIFFERENT PEOPLE, DON'T AUTHORIZE PAYMENT" | |
interface = gr.Interface(fn=predict, | |
inputs= [gr.Image(value = dataset['train']['image'][10], type="pil", source="webcam"), | |
gr.Image(value = dataset['train']['image'][17], type="pil", source="webcam")], | |
outputs= [gr.Number(label="Similarity"), | |
gr.Textbox(label="Message")], | |
title = 'Face ID', | |
description = 'This app uses face biometrics and a similarity to function as a Face ID application.The similarity score ranges from -1 to 1.' | |
) | |
interface.launch(debug=True) | |
#interface.launch(share=True) | |