face_detector / app.py
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Update app.py
9714130
import gradio as gr
import matplotlib.pyplot as plt
from sentence_transformers import SentenceTransformer
from sklearn.metrics.pairwise import cosine_similarity
def predict(im1, im2):
model, theta = SentenceTransformer('sentence-transformers/clip-ViT-L-14'), 0.55
emb1, emb2 = model.encode(im1), model.encode(im2)
sim = cosine_similarity(emb1.reshape(1, -1), emb2.reshape(1, -1))[0][0]
if sim > theta:
return sim, 'User authenticated. Phone unlocked'
else:
return sim, 'Unrecognized user. Unable to unlock phone'
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(debug=True)