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()